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Refreshing your executive or author bios on your website? Bios can be tedious and they tend to blur together when you write many at once. But they don\u2019t have to. With AI, you can now generate bright and compelling bios in minutes, with no end to the creativity.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In this post, we'll explore some of the best AI tools for creating professional bios and crafting the perfect profile to showcase your skills and experience.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Unquestionable Importance of a Well-Written Professional Bio\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Your bio is often your first impression, and it can be your last if it isn\u2019t catchy. The people who want to hire or work with you are reading hundreds of bios every day and yours is a sort of elevator pitch\u2014it\u2019s the thing you\u2019d say if you had just 30 seconds in an elevator with any company\u2019s top executive.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"That means in very little time, it needs to summarize who you are and what you do. In preciously few sentences, you need to highlight your top accomplishments, skills, competencies, and strengths. If you write a good bio, it leaves a memorable impression on your audience\u2014including that executive after they step out of the elevator.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here are some key benefits of investing in writing a strong professional bio:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Builds credibility and trust\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Attracts the right connections and opportunities\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Shows you're an expert in your field\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Makes you stand out from competitors\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Reinforces your personal or professional brand\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Helps people quickly decide whether to work with you\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"What\u2019s also interesting about them is you don\u2019t have a lot of text to work with, and most people don\u2019t get many opportunities to write or revise one. (Do you recall learning this in school? We don\u2019t.) Which is why bio generators can make yours ultra engaging and exciting. This is where AI comes in handy!\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How AI Bio Generators Can Help You Engage Readers\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI-powered bio generator tools simplify the bio-writing process by providing pre-written content you can easily customize to suit your needs.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here's how to use them:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Input details like your name, profession, skills, etc.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"The AI will instantly generate multiple professional bio options.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"You can tweak the bios.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"You can then ask the AI to rearrange and improve the text to create a well-written bio.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Choose the bio template you like best or combine parts from different options.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The best AI bio generators create unique, compelling content that sounds natural, not robotic. They analyze your inputs to identify your strengths, narrate your career progression, convey the immensity of your accomplishments, and write coherent bios tailored to your profile.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Let's look at some top AI tools for crafting killer professional bios with ease.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Top 6 AI Tools for Creating Professional Bios\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"Kindo: Best for Intelligent-Sounding Bios\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"We\u2019ll throw our own hat in the ring here. We know a lot about bio generators because that\u2019s one of Kindo\u2019s specialties. Kindo\u2019s a platform that allows you to create \u201Cworkflows\u201D to do things like generate bios, but it\u2019s also safe for work. And unlike other AI generator options, your information is secure and not being shared.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"You can use our prebuilt \", /*#__PURE__*/e(i, {\n          href: \"https://kindo.ai/workflows/write-a-personal-bio-instantly\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Kindo bio generator\"\n          })\n        }), \", or copy this template and alter it to create your own. This is especially useful if you\u2019re trying to produce lots of bright and creative bios, say, for your team.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(i, {\n        href: \"https://kindo.ai/workflows/write-a-personal-bio-instantly\",\n        openInNewTab: !0,\n        smoothScroll: !1,\n        children: /*#__PURE__*/e(\"a\", {\n          className: \"framer-image\",\n          \"data-preset-tag\": \"img\",\n          children: /*#__PURE__*/e(\"img\", {\n            alt: \"Personal Bio Generator - Kindo.ai\",\n            className: \"framer-image\",\n            \"data-framer-asset\": \"data:framer/asset-reference,PxLBbJeJYVQTW3qtBYpkr2Lv3G4.png\",\n            \"data-framer-height\": \"1116\",\n            \"data-framer-width\": \"1553\",\n            height: \"558\",\n            src: \"https://framerusercontent.com/images/PxLBbJeJYVQTW3qtBYpkr2Lv3G4.png\",\n            style: {\n              aspectRatio: \"1553 / 1116\"\n            },\n            width: \"776\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"Longshot: Best for LinkedIn Bios\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Longshot is an AI writing assistant that generates professional bios perfect for your LinkedIn profile. Just enter your job title, company, and a description of your role. Longshot will instantly create five different LinkedIn bio options.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Tweak the bios by adding your skills, interests, or work history. The AI will rearrange the content to create a natural flow. Longshot also generates ideas for your LinkedIn headline and summary.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With Longshot, creating a compelling LinkedIn bio takes just minutes. You can even generate multiple versions and pick the best professional bio to showcase your strengths.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"Jasper: Excellent for Any Type of Bio\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Jasper is a versatile AI writing tool that can craft bios for different needs\u2014LinkedIn, Twitter, your website, your about page, your email signature, and more. It\u2019s ideal for quickly testing different bio variations.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Simply enter a few prompts about yourself and Jasper will generate five (rather brief) bio options. Want something more detailed? Give it more material like your background, skills, and accomplishments. The AI even suggests keywords to add based on your field and role. You can easily customize the bios to highlight your uniqueness.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Jasper also optimizes bios for SEO by incorporating relevant keywords, though according to Google\u2019s latest update, you don\u2019t want to be caught \u201C\", /*#__PURE__*/e(i, {\n          href: \"https://developers.google.com/search/docs/essentials/spam-policies\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"stuffing\"\n          })\n        }), \"\u201D keywords because it can actually harm your rankings.\\xa0\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"HotBot: Great for Creative Bios\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"HotBot helps you create compelling, creative bios with an element of fun. While most AI bios have a formal tone, HotBot generates casual, quirky bios that capture your personality. This is great for social media bios where you want to showcase your personality, not just skills.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"To craft your bio, enter details like your name, profession, hobbies, passions, achievements, or anything that describes you. HotBot will instantly suggest catchy bios in different styles.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"You can improve the bios with a little humor\u2014they tend to be dry. Whenever you alter the writing, HotBot will rearrange the words to maintain the unique style.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"5\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"Writings.ai: Ideal for Mass-Generating Bios\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Writings.ai lets you instantly spin multiple bio variations to find the best option. Enter your details and Writings.ai will generate up to a bewildering 50 bios based on your inputs. This makes it great for testing different styles and keyword combinations to create an SEO-optimized bio focused on your ideal audience. You can also generate bios tailored to different platforms like LinkedIn, Twitter, and your website\u2019s about page.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"You can tweak the bios to include different keywords, achievements, or areas of expertise. Writings.ai will rearrange the content accordingly.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"6\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"strong\", {\n              children: \"Upword: Best for Improving Existing Bios\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Upword is handy for when you already have a bio but want to improve it. Paste in your current bio and Upword will suggest edits to enhance the content. It\u2019ll provide an overall quality score and feedback on:\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Areas to expand\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Tone and readability\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"SEO optimization\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"You can tell Upword about your profession, skills, etc. and it will recommend keywords and facts to add. The AI also generates new bio versions focused on your target audience.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How to Choose the Right AI Bio Generator\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With so many AI tools available, how do you pick the best bio generator? Here are a few tips:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Consider what it\u2019s for\u2014LinkedIn, website, resume, etc. Choose an AI tool designed for that purpose.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Determine the bio length and style you need\u2014Certain tools are better for short/long bios.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Review the quality of the AI content\u2014You may need to edit it to keep it sounding natural and not robotic.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Look for customization options to add your unique details.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Opt for an AI tool that suggests relevant keywords for your industry and role.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Check if the tool provides SEO optimization by incorporating keywords.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"By selecting the right AI tool for your specific needs, you can create compelling, targeted bios that help you stand out.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How to Make the Most of AI Bio Generators\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here are some pro tips to use AI bio-writing tools effectively:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Provide sufficient inputs about your skills, credentials, and accomplishments so the AI can reflect those in the bios.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Be specific when describing your role, expertise, and achievements. Avoid vague inputs.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Review all the auto-generated bio options before deciding on one. Mix and match content from different versions.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Customize the bios by adding unique details and achievements. Tweak the tone to match your brand.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Replace generic terms like \u201Cexperienced\u201D with quantifiable facts and numbers.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Check that your keywords sound natural and not forced.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Use free trials of different tools to compare the quality before subscribing.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Create separate optimized bios for each major platform like LinkedIn, Twitter, and your website.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Update your bios regularly to highlight new skills, projects, and accomplishments.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With practice, you\u2019ll get better results from AI bio-writing tools. But that time is worth it, because it can help you refine a professional bio that\u2019s actually worth reading, and it's your chance to make a powerful impression. Elevator or no elevator.\\xa0\"\n      })]\n    })\n  }, {\n    id: \"f0J4zmbly\",\n    [c]: !1,\n    [h]: \"How to leverage AI to generate new content ideas\",\n    [d]: \"use-ai-new-content-ideas\",\n    [p]: \"2023-12-06T00:00:00.000Z\",\n    [m]: \"4 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"Steve Roberts, VP of Marketing for Kindo.ai\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg?scale-down-to=512 409w, https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg?scale-down-to=1024 819w, https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg?scale-down-to=2048 1638w, https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg?scale-down-to=4096 3276w, https://framerusercontent.com/images/vfkk44Hcwfqh5zgavTJso1NHLg.jpg 3308w\"\n    }, \"\"),\n    [y]: \"How to Use AI Content Idea Generators for Unlimited Creative Ideas\",\n    [b]: \"Learn how artificial intelligence tools can analyze data to come up with fresh, on-brand content ideas for your blog or website in less time.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Coming up with fresh, creative content ideas can be a major challenge for content marketers and bloggers. But artificial intelligence (AI) tools are now available that can help generate compelling new content ideas in half the time. In this post, we'll look at how you can leverage AI to come up with engaging content ideas for your blog or website.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"What Is Artificial Intelligence Content Idea Generation?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Artificial intelligence refers to computer systems or software that can perform tasks that normally require human intelligence. AI content idea generators utilize advanced algorithms to analyze massive amounts of data from across the web to come up with relevant topic suggestions that are likely to resonate with your target audience.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Instead of spending hours racking your brain for new ideas, you simply provide the AI tool with some initial keyword or topic input and it will provide you with a multitude of fresh, on-brand content ideas in seconds. The AI tool utilizes machine learning to continuously improve the relevance of its suggestions based on your input.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How Can AI Help Generate Content Topics and Ideas?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here are some ways artificial intelligence can help generate amazing content topics and ideas:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Analyze your existing content: An AI tool can study your current content, including blog posts, articles, and keywords to understand your brand voice and identify potential gaps or related ideas. This allows you to easily see new content opportunities.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Research competitors: The tool can analyze competitors' content strategies to help you find ideas they may have missed and avoid replicating content. This gives you an SEO advantage.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Identify trending topics: AI can spot the latest trends related to your industry by analyzing real-time search volumes and news stories. This allows you to create relevant, timely content.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Generate headlines: Many AI tools can craft catchy headlines for your topics to capture reader attention.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Mind map topics: AI uses semantic mapping to visualize connections between topics. This may help spark lateral thinking for fresh content angles.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Curate a long list of ideas: An AI tool can develop a list of content ideas on various topics that align with your brand and audience interests.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Fill your editorial calendar: The AI-generated ideas can be used to populate your editorial calendar for months to come.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How To Use an AI Tool To Get Content Ideas\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here is a simple step-by-step process for leveraging artificial intelligence to get content ideas:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Select an AI content idea generator tool: Research solutions and select one that best fits your needs, integrates with your systems, and has robust capabilities.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Provide initial input: Feed the content idea generator some basic keywords, topics, and/or existing content so it can understand your brand.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Generate content ideas: Use the tool's algorithms to analyze data and deliver a list of fresh, relevant headline suggestions or topic clusters.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Refine and prioritize: Review the content ideas, refine them as needed, identify favorites, and prioritize by reordering.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop an outline: Flesh out your best content ideas by developing outlines, adding research, etc.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Repurpose ideas: Use the AI content ideas to inform articles, videos, social posts, and more.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Track performance: See which AI-generated topics perform best as a feedback loop to improve outputs.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Six AI Content Idea Generator Tools\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Some top content idea generator tools to consider leveraging include:\"\n      }), 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Learn how to leverage AI to create customized resignation letters in minutes.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/t(\"p\", {\n        children: [\"Have you ever struggled to compose a resignation letter that balances professionalism, diplomacy, and brevity? Crafting the perfect letter to resign from your job can be a challenging task. Fortunately, with the power of artificial intelligence (AI), you can now leverage AI tools to generate a polished, effective resignation letter in minutes.\\xa0\\xa0\", /*#__PURE__*/e(\"br\", {}), /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In this blog post, we\u2019ll explore how to use AI-powered letter generator tools to easily create a professional resignation letter customized to your needs. With the right AI tool, you can quickly generate a letter that thoughtfully conveys your message\u2014and turn a dreaded task into a quick and painless one.\\xa0\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How To Write a Resignation Letter With AI\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Writing a resignation letter is a delicate balancing act. 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Most AI tools allow you to edit and refine the letter before downloading/printing.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"And just like that, you\u2019ve created a polished, personalized resignation letter using the power of artificial intelligence! The best part is that AI tools handle all the hard work of optimizing the letter for professionalism and clarity.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How To You Edit Your AI Resignation Letter\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"When you need to resign from your job effective immediately, crafting a resignation letter that captures the right tone is essential. But the first letter your AI generator drafts won\u2019t be perfect\u2014it probably needs some editing. Here are tips for editing the resignation letter announcing your departure:\", /*#__PURE__*/e(\"br\", {}), /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })]\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Keep It Short\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"For an immediate resignation, brevity is key. Succinctly state your resignation in the first paragraph without excessive detail. There\u2019s no need to offer paragraphs of explanation, so review your AI- generated letter for concision. Does it get to the point right away? Does it cover all the key details you added without anything extraneous? Feel free to chop away sentences that you don\u2019t need.\\xa0\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Be Sincere\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Ensure you thank your employer for the opportunities they\u2019ve provided but avoid excessive flattery. Check the tone of the resignation letter\u2014is it overly severe? Does it sound bitter or angry? Ask a friend to read it and give an honest opinion. Or even paste it back into an AI platform like \", /*#__PURE__*/e(i, {\n          href: \"https://kindo.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Kindo\"\n          })\n        }), \" and ask for an analysis of the overall tone. While editing, aim to strike a sincere, neutral tone.\"]\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"State Your Last Day\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This is probably the most important fact to check. While reviewing, ensure your last day is clearly and correctly stated\u2014whether it\u2019s effective immediately or within a timeframe.\\xa0\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Correct Any Mistakes\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"If you\u2019d like to offer to help transition projects or offer guidance about ongoing work, make sure that your contact information at the end of your resignation letter is correct. Also, read carefully to ensure the AI hasn\u2019t hallucinated any details about your name, company name, job title, or reason for resigning. Read the draft over twice\u2014once for general edits and and then to correct any mistakes.\\xa0\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Maintain Professionalism\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The most important aspect of a resignation letter is communicating your departure timeline while maintaining professionalism and grace under pressure. To that end, remove anything in your letter that criticizes the company or vents grievances.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Resigning Is Never Easy. AI Is Here To Help.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A thoughtfully crafted resignation letter can make navigating career transitions smoother. Luckily, AI-powered tools like Rezi and Kickresume have transformed the resignation letter writing process from an intimidating chore to a simple task.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In just minutes, you can leverage the power of artificial intelligence to generate customized, professional resignation letters optimized for your needs. So next time you need to share news of your departure, let AI lend a hand crafting the perfect message to sign off positively and professionally.\"\n      })]\n    })\n  }, {\n    id: \"O1uwCYnkx\",\n    [c]: !1,\n    [h]: \"What Is GPT- 4 and How Is It Different From GPT-3?\",\n    [d]: \"gpt-4-vs-gpt-3\",\n    [p]: \"2023-11-22T00:00:00.000Z\",\n    [m]: \"3 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"Steve Roberts, VP of Marketing for Kindo\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/xqtYuXKy3pkTBZhx3xeCQojFyHM.jpg 6000w\"\n    }, \"chat gpt\"),\n    [y]: \"GPT-4 vs. GPT-3: How OpenAI's New Model Builds Upon Previous Versions\",\n    [b]: \"Learn about GPT-4, OpenAI's newest AI model. Explore how GPT-4 expands capabilities beyond GPT-3 with more data, larger size, multimodality, and improved reasoning. A comparison of the key differences between GPT-4 and prior GPT versions.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"OpenAI's Generative Pre-trained Transformer 4 (GPT-4) is an artificial intelligence model that has achieved new benchmarks in natural language processing capabilities compared to previous models like GPT-3. In this blog, we\u2019ll explore GPT-4 and how it aims to improve upon previous GPT models.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"What Is GPT-4?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"GPT-4 is the next-generation language model created by OpenAI's Alignment Research Center. It\u2019s the largest AI model created so far by OpenAI, building upon the capabilities of the company's previous models like GPT-3. GPT-4 offers:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Significantly larger model size compared to previous GPT versions\u2014up to 100 trillion parameters\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Ability to ingest and generate multiple data modalities beyond just text, including capabilities like image and video\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Improved reasoning, logic, and common sense capabilities compared to prior models\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"State-of-the-art performance on academic benchmarks for natural language and multimodal tasks. GPT-4 achieves human-level performance on the Uniform Bar Examination, LSAT, and SAT.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Training on even larger datasets of text, images, videos, and other data for broader world knowledge\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Essentially, GPT-4 aims to achieve new breakthroughs in deep learning model performance on a variety of AI capabilities. While GPT-3 impressed with its natural language prowess, GPT-4 expands into additional modalities like image inputs while also continuing to enhance text understanding.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How GPT-4 Builds Upon Previous GPT Models\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"To understand GPT-4, it helps to first look at the previous GPT models developed by OpenAI and how each iteration has expanded capabilities.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"GPT-1\u2014The Beginning\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This first Generative Pre-trained Transformer model was released in 2018 and had 110 million parameters. It achieved state-of-the-art performance on language modeling benchmarks at the time.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"GPT-2\u2014The Sequel\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This 2019 upgrade dramatically increased model size to 1.5 billion parameters. It performed even better at language tasks like text generation and machine translation.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"GPT-3\u2014The Leap\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Considered a huge leap forward in 2020, GPT-3 grew to 175 billion parameters. It reached new benchmarks in few-shot learning for natural language and could perform a wide range of language tasks at human-level performance or better with little training data. This was also the first model most consumers became familiar with during the so-called, \u201CAI boom.\u201D While the max request value is 2,049 tokens and on the GPT-3.5, this limit is 4,096 tokens or about three pages of single-lined English text.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"GPT-4\u2014The Innovation\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Now GPT-4 aims to continue pushing these capabilities even further. Training it on huge datasets ranging from text corpora to image collections, the model absorbs vast general knowledge about language and visual concepts. Leveraging this broad knowledge, GPT-4 achieves stronger reasoning, logic, and common sense. GPT-4-8K offers 8,192 tokens and the variant GPT-4-32K can provide up to 32,768 tokens, which is about 50 pages of text.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'GPT-4 has also improved upon GPT-3\\'s correctness. GPT-4 scores 40% higher on factual performance than GPT-3 and produces fewer \"hallucinations\" or errors.\\xa0'\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Path Forward After GPT-4\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"GPT-4 aims to be OpenAI's most capable AI model to date, but it is unlikely to be the final milestone. The arc of progress in deep learning and massive models has been swift, with companies like Google and Meta also pursuing huge models. It\u2019s likely that GPT 5, 6, or beyond will follow in the coming years as computing power grows.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"There is still significant research required to overcome challenges like bias in training data, risks, and improving alignment with human values. Initiatives like OpenAI's \", /*#__PURE__*/e(i, {\n          href: \"https://www.computerworld.com/article/3702229/openai-launches-new-alignment-division-to-tackle-risks-of-superintelligent-ai.html\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"alignment research division\"\n          })\n        }), \" are doing important work here. And just like the models that came before, GPT-4 lacks knowledge of events that occurred after September 2021. It can still generate inaccurate advice, bad code, or harmful information, and because of those risks, it should be used with careful judgment.\\xa0\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As models continue to grow in size and capability, integrating more data and modalities, they will unlock new frontiers in replicating and advancing natural and artificial intelligence. GPT-4 represents the next step forward, but not the finish line.\\xa0\"\n      })]\n    })\n  }, {\n    id: \"rbKUFfJZ0\",\n    [c]: !1,\n    [h]: \"What Are ChatGPT Alternatives?\",\n    [d]: \"chatgpt-alternatives\",\n    [p]: \"2023-11-16T00:00:00.000Z\",\n    [m]: \"7 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"Steve Roberts, VP of Marketing for Kindo.ai\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/FMZg6Bzt2aZGCjswBnPjucYkJSY.jpg 5724w\"\n    }, \"Alternatives to ChatGPT\"),\n    [y]: \"Best ChatGPT Alternatives in 2023\",\n    [b]: \"Discover the top ChatGPT alternative AI tools and language models in 2023 like Kindo, Claude, and more for creating long-form content, writing code, and search engine use.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Since its release in November 2022, ChatGPT has taken the world by storm. This revolutionary AI chatbot utilizes natural language processing to generate human-like conversations and long-form content. With astounding capabilities, ChatGPT has captured widespread interest and adoption at a rapid rate. However, while ChatGPT is impressive, it's not the only artificial intelligence tool on the market. There are several other AI tools and language models that serve as viable ChatGPT alternatives and, depending on your use case, may be more suitable for the goal you\u2019re trying to accomplish. In this post, we\u2019ll explore the top options to consider in 2023.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"What is ChatGPT?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Developed by OpenAI, ChatGPT is an AI chatbot released in November 2022 that can generate human-like conversations using natural language processing. It\u2019s built on OpenAI\u2019s GPT-3 (which stands for \u201Cgenerative pre-training transformer\u201D), a system trained on a massive amount of text data using natural language processing.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"ChatGPT is designed to understand natural language queries and provide coherent responses in a conversational manner. The AI assistant can perform a wide range of tasks like summarizing lengthy articles, answering complex questions, generating creative content, translating languages, writing code, and more.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Despite its capabilities, ChatGPT does have some limitations. It may sometimes generate inaccurate, biased, or nonsensical text (called \u201Challucinations\u201D). While its creators are constantly working to improve its abilities, here are six ChatGPT alternatives that can complement or even provide superior performance for certain use cases.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"1. Kindo: The AI Content Writer With Repeatable Workflows\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://kindo.ai/\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Kindo\"\n          })\n        }), \" is a secure platform that brings together the power of AI with the ease and security of a single, robust tool. Instead of using several different AI models to achieve your goals, Kindo gives you access to all of them\u2014ChatGPT, Claude, PaLM, and many more. Easily string prompts together to create \", /*#__PURE__*/e(i, {\n          href: \"https://kindo.ai/product/ai-workflows\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"workflows\"\n          })\n        }), \" that simplify your tasks.\\xa0\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Key features include:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Natural language search which understands the meaning of your searches and returns accurate answers\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Smart recommendations that prompt you with additional suggestions on how to take full advantage of AI\\xa0\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Industry-leading security, privacy, and compliance. Kindo never uses your data to train AI models\\xa0\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Easy-to-create AI workflows and access to a community library of workflows to optimize your daily work routine\\xa0\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Kindo uses the power of AI to connect any data point you\u2019d like and answer any question you throw at it. Analyze disparate data points, find that pesky document in your tech stack, or summarize swaths of content. And do all this with layers of security between your connected apps, the Kindo platform, and the AI models.\\xa0\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"2. Anthropic: The Maker of Claude\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Anthropic is the startup behind Claude, a ChatGPT alternative which bills itself as \u201Ca next-generation AI assistant.\u201D Claude is an AI assistant specifically focused on natural conversation abilities. The tool is designed to have more contextual awareness in dialogue, with the ability to admit knowledge gaps rather than generate false information.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Valued for its clear, natural conversations and a constitution which the company claims makes it safer and more helpful than comparable AI solutions, Claude is a leading choice among natural language processing chatbots.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Claude comes in two versions: Claude and Claude Instant. Here\u2019s how they compare:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Claude: Anthropic\u2019s flagship natural language processing model, ideal for complex reasoning and creativity\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Claude Instant: A more lightweight, cheaper version of Claude, with reduced latency for less-demanding tasks\\xa0\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Already integrated into popular tools and sites like Quora and DuckDuckGo, Claude\u2019s use cases are only growing. Even if you haven\u2019t already used Claude directly, there\u2019s a chance you\u2019ve encountered it through one of its many partners.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In initial tests, Claude appears more natural and less rigid than ChatGPT in free-flowing chats. While not as versatile, Claude's conversation expertise makes it an intriguing AI chatbot alternative for that specific purpose. As Anthropic expands access to Claude, its performance as a ChatGPT alternative will become clearer.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"3. Bing AI: Microsoft's Search Engine Bot\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Bing Chat is Microsoft's new AI chatbot assistant integrated into its Bing search engine and a key competitor to Google Bard. Powered by AI from Microsoft and OpenAI, Bing AI aims to enhance search results with conversational interactions.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Key features include:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Conversational replies to search queries\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Summarizing long web pages\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Simplifying complex topics\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Citing sources for generated information\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As a search engine, Bing Chat could provide a more interactive and contextual chatbot alternative to ChatGPT\u2019s generalist knowledge. It has the potential to enhance online research and learning. It also enables users to use images in their search queries, which is a feature that sets it apart from ChatGPT.\\xa0\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"4. Cohere: Enterprise-Focused AI\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Cohere is an AI startup that has developed a language model focused on conversation and explanation abilities. While OpenAI is closely associated with Microsoft, Cohere was\", /*#__PURE__*/e(i, {\n          href: \"https://thenewstack.io/cohere-vs-openai-in-the-enterprise-which-will-cios-choose/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \" founded\"\n          })\n        }), \" by ex-Googlers.\\xa0\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Like ChatGPT, Cohere can generate long-form content. But they see their approach as fundamentally different from OpenAI\u2019s. \u201COpenAI wants you to bring your data to their models, exclusive to Azure,\u201D says Martin Kon, Cohere\u2019s President and COO. \u201CCohere wants to bring our language model to your data, in whatever environment you feel comfortable in.\u201D This makes Cohere most suitable for enterprise use cases or for embedding inside other software tools.\\xa0\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"By emphasizing privacy and control, Cohere could provide more accountable AI output than ChatGPT. Its emphasis on conversational context also helps it serve as a chatbot alternative.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"5. Character AI: Imaginative and Fun Chatbot\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'Character AI markets itself as an \"imagination engine,\" with the ability to role-play various AI characters and scenarios. Users can customize interactions by defining a persona for the AI chatbot.'\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Compared to the goal-oriented responses of ChatGPT, Character AI aims to provide entertaining chat experiences. It generates very creative, conversational replies\u2014essentially role-playing with users.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While not suited for informational queries, Character AI provides an engaging ChatGPT alternative for fantasy, absurdist chats. Its strong AI personalities and character voices differentiate it in the conversational AI landscape.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"6. QuillBot: Paraphrasing and Summarizing Text\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While not a direct conversational chatbot, QuillBot provides AI-powered language capabilities that could work well alongside ChatGPT.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"QuillBot specializes in paraphrasing and summarizing text. It uses natural language processing to rewrite or condense content while retaining meaning.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Key features include:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Paraphrasing blocks of text\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Shortening lengthy articles\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Rephrasing sentences in different ways\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Enhancing writing style\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"For long-form content creation, QuillBot is a useful AI writing companion to ChatGPT alternative. It can rephrase chatbot-generated text to sound more human. QuillBot is readily accessible via free and paid subscriptions.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"What Are the Free Alternatives to ChatGPT?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While many AI chatbots are only accessible as paid writing tools, some free-to-use ChatGPT alternatives to try include Kindo (which is free to get started), featuring conversational search, content creation, and repeatable workflows. Character AI also offers free tier access to its imaginative chatbot. Both of these offer free options with additional advanced features adding capabilities beyond that of the standard offerings from ChatGPT.\\xa0\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Choosing the Right Alternative to ChatGPT\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With so many options, how do you choose the right ChatGPT alternative? Here are a few key considerations:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Purpose: Are you looking to enhance search, summarize texts, rewrite content, chat conversationally, or something else? Match the AI tool to your specific needs.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Accuracy: Does the system pull from real-time data for reliable information like Bing or You.com? Or is it prone to hallucinating facts like ChatGPT?\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Personality: Do you want a friendly assistant like Jasper or a neutral, to-the-point summarizer like Shortly Read? Factor in the ideal tone and style.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Features: Look for extra capabilities that suit your work, whether it\u2019s keyword research, voice commands, or built-in grammar correction.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Price: ChatGPT alternatives range from free entry-level options to paid plans with more advanced features. Weigh the costs against your usage needs.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"ChatGPT Alternatives Are Here To Stay\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While ChatGPT has sparked widespread fascination with its impressive natural language abilities, it is not the only conversational AI in town. Options like Kindo, Anthropic\u2019s Claude, Bing, Cohere, Character AI, and QuillBot provide intriguing alternatives to ChatGPT\u2014each with its own distinct strengths and features.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As artificial intelligence advances, we can expect more nuanced AI chatbots with complementary abilities to ChatGPT as well as alternatives. Testing different options can help identify the best AI tools and language models for specific use cases, whether that\u2019s long-form content creation, imaginative role-play, or focused conversations.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The AI landscape is expanding rapidly. ChatGPT has ignited broad interest\u2014but it is only one approach among a growing selection of creative ChatGPT alternatives. The best option depends on your particular needs. With AI innovation accelerating, the future looks bright for accessible conversational AI that empowers humans.\"\n      })]\n    })\n  }, {\n    id: \"LlcdOrbQO\",\n    [c]: !1,\n    [h]: \"8 Tips and Tricks For Better Results From Your AI Prompts\",\n    [d]: \"8-tips-tricks-for-better-results-from-your-ai-prompts\",\n    [p]: \"2023-11-16T00:00:00.000Z\",\n    [m]: \"4 min\",\n    [g]: \"Dean Gebert\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/RsBMUZ9M6Ea0L4IqEO2Qscsccw.svg\"\n    }, \"\"),\n    [f]: \"vYNvyvOb8\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/9DffvX4WtEkJYkrFiEHTj2ZLncg.png\",\n      srcSet: \"https://framerusercontent.com/images/9DffvX4WtEkJYkrFiEHTj2ZLncg.png?scale-down-to=512 512w, https://framerusercontent.com/images/9DffvX4WtEkJYkrFiEHTj2ZLncg.png?scale-down-to=1024 1024w, https://framerusercontent.com/images/9DffvX4WtEkJYkrFiEHTj2ZLncg.png?scale-down-to=2048 2048w, https://framerusercontent.com/images/9DffvX4WtEkJYkrFiEHTj2ZLncg.png 2224w\"\n    }, \"\"),\n    [y]: \"8 Tips to Improve your AI Prompts for 10x Better Results\",\n    [b]: \"Learn from these 8 mind blowing, but simple to implement techniques on how to get the best returns from your AI Prompts.  Utilizing techniques from role-playing personas to specific questioning, this guide shares how to achieve higher quality with AI.\",\n    [v]: I({\n      src: \"https://framerusercontent.com/images/fN0ulcqc3l2tQ6R2tbg0K6BQY1A.svg\"\n    }, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Artificial intelligence has become an invaluable tool for completing complex tasks and generating high-quality content. However, effectively utilizing AI requires an understanding of how to structure prompts and requests to get the best results. This blog post will explore simple techniques you can use to dramatically improve the quality of output from your AI workflows. We'll cover tactics like asking an AI model to role-play a persona, using specific questioning words, requesting content at a target reading level, and more. With just a bit of tweaking, you can elicit more detailed, coherent responses tailored to your exact needs. Read on to unlock the full potential of your AI tools.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Ask the AI Model to Role-Play a Persona\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"Using this in your Workflow will encourage the model to output a better description of complex topics by creating responses that reflect the persona\u2019s knowledge and experience.Structure it as a prefix, used prior to your output request. (i.e. Imagine you are a copywriter with 20 years of experience. Please write a 500 word blog post about macro economics.)\"\n          }), /*#__PURE__*/t(\"ul\", {\n            children: [/*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Clearly define the persona with details like name, occupation, background, personality, skill set, etc (i.e. Imagine you are Dr Jones, a renowned astrophysicist with expertise in black holes and interstellar travel).\"\n              })\n            }), /*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Set the context in which the role-play will take place. This will help the AI model understand how the persona would respond (i.e. Imagine you are giving a lecture to college students on colonizing distant planets).\"\n              })\n            }), /*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Ask questions that encourage the AI model to respond as the character (i.e. As Dr. Jones, explain the challenges humans might face when colonizing distant planets and how we can overcome them.)\"\n              })\n            }), /*#__PURE__*/t(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: [/*#__PURE__*/e(\"p\", {\n                children: \"Maintain the persona throughout the conversation, by continuing to address the AI model as that person (i.e. Dr Jones, what technological advancements will be necessary for humans to successfully establish colonies on other planets?).\"\n              }), /*#__PURE__*/e(\"p\", {\n                children: /*#__PURE__*/e(\"br\", {\n                  className: \"trailing-break\"\n                })\n              }), /*#__PURE__*/e(\"img\", {\n                alt: \"\",\n                className: \"framer-image\",\n                \"data-framer-asset\": \"data:framer/asset-reference,Ly9QbZskgjLmsEMcL7RAm98v8.png\",\n                \"data-framer-height\": \"2296\",\n                \"data-framer-width\": \"1688\",\n                height: \"1148\",\n                src: \"https://framerusercontent.com/images/Ly9QbZskgjLmsEMcL7RAm98v8.png\",\n                style: {\n                  aspectRatio: \"1688 / 2296\"\n                },\n                width: \"844\"\n              }), /*#__PURE__*/e(\"p\", {\n                children: /*#__PURE__*/e(\"br\", {\n                  className: \"trailing-break\"\n                })\n              })]\n            })]\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Describe the Persona\u2019s Manner\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"Including this after defining the persona will help you get a specific tone or personality in your output. (i.e. Your manner is professional, supportive, and helpful. You are also known for being kind, helpful, and concise.)\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"br\", {\n              className: \"trailing-break\"\n            })\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Use Questioning Words\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"The words who(m), what, when, where, and why guide the AI model in a certain direction and will elicit more specific, detailed, and useful responses.\"\n          }), /*#__PURE__*/t(\"ul\", {\n            children: [/*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: 'Use \"Who(m)\" for questions about people or groups. \"What\" for objects, concepts, or events. \"When\" for time or chronology. \"Where\" for locations or places. \"Why\" for reasons, motivations, or causes.'\n              })\n            }), /*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: 'Try combining them for longer content and additional specifics. For example, \"When, where, and by whom was the Declaration of Independence signed?\"'\n              })\n            }), /*#__PURE__*/t(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: [/*#__PURE__*/e(\"p\", {\n                children: \"Use open-ended questions, which encourages the AI model to provide more detailed, thoughtful answers, rather than simple yes/no answers.\"\n              }), /*#__PURE__*/e(\"p\", {\n                children: /*#__PURE__*/e(\"br\", {\n                  className: \"trailing-break\"\n                })\n              })]\n            })]\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Ask For Output at a Specific Reading Level\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"This makes your content accessible to a wider audience, helping more people avoid struggling with complex vocabulary, jargon, or sentence structure.\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"br\", {\n              className: \"trailing-break\"\n            })\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"AI remembers the context of a conversation. This means you don\u2019t have to retype your starting question or request. Just treat it like a conversation and add it as a follow-up question or request. (i.e. Please rewrite that answer at a 9th grade reading level.).\"\n          }), /*#__PURE__*/t(\"ul\", {\n            children: [/*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Avoid a too complex (or simplistic) writing style to help maintain reader engagement. People are more likely to stay interested and will continue reading if they can easily comprehend the material.\"\n              })\n            }), /*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"By simplifying the language and focusing on clarity, you can convey a message more quickly and more reliably, reducing the likelihood of misunderstandings.\"\n              })\n            }), /*#__PURE__*/t(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: [/*#__PURE__*/t(\"p\", {\n                children: [/*#__PURE__*/e(\"strong\", {\n                  children: \"Pro Tip:\"\n                }), \" Try \u201Clevels\u201D other than 1st to 12th grade, like PhD or non-native English speaker.\"]\n              }), /*#__PURE__*/e(\"p\", {\n                children: /*#__PURE__*/e(\"br\", {\n                  className: \"trailing-break\"\n                })\n              })]\n            })]\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Request a Step-By-Step Response\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"This tells the AI model that you're looking for a sequential, ordered list of steps. Again, these can be included as follow-up questions. But if you know what output you\u2019re looking for when you start, use them in a single prompt.\"\n          }), /*#__PURE__*/t(\"ul\", {\n            children: [/*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Begin your prompt by explicitly asking for a step-by-step response or a list of steps. (i.e. Please provide a step-by-step guide on how to change a flat tire for a 2020 Ford Fusion).\"\n              })\n            }), /*#__PURE__*/e(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: /*#__PURE__*/e(\"p\", {\n                children: \"Use numbers or bullets to emphasize the requested format of your response. (i.e. List the steps to change a flat tire using numbers).\"\n              })\n            }), /*#__PURE__*/t(\"li\", {\n              \"data-preset-tag\": \"p\",\n              children: [/*#__PURE__*/e(\"p\", {\n                children: \"Include any specific requirements for the response. (i.e. Please mention any necessary tools and safety precautions to take while changing a flat tire).\"\n              }), /*#__PURE__*/e(\"p\", {\n                children: /*#__PURE__*/e(\"br\", {\n                  className: \"trailing-break\"\n                })\n              })]\n            })]\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Avoid Jargon and Acronyms\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"This is another way to improve clarity, accessibility, and engagement. However, if your audience is familiar with them, or if their usage is necessary, add explanations or definitions.\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"br\", {\n              className: \"trailing-break\"\n            })\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Use Exclusions\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"If there are certain terms you don\u2019t want included in the Workflow\u2019s output, use \u201C--no [excluded words or phrases]\u201D and add your exclusions. The 2 hyphens and \u201Cno\u201D tell the AI model you don\u2019t want the words or phrases that follow in the output.\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"br\", {\n              className: \"trailing-break\"\n            })\n          })]\n        }), /*#__PURE__*/t(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: [/*#__PURE__*/e(\"h2\", {\n            children: \"Crucially, Progress\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: \"If your Workflow\u2019s output isn\u2019t exactly what you wanted on the 1st attempt, clarify what you\u2019re looking for. Use as much detail in your prompt as possible (it\u2019s virtually impossible to provide too much), with straightforward language\\xa0\u2013 like you would with a new employee or intern. Try new things. Test, tweak, redeploy.\"\n          }), /*#__PURE__*/e(\"p\", {\n            children: /*#__PURE__*/e(\"br\", {\n              className: \"trailing-break\"\n            })\n          })]\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"A closing note\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"If your Workflow\u2019s output isn\u2019t exactly what you wanted on the 1st attempt, clarify what you\u2019re looking for. Use as much detail in your prompt as possible (it\u2019s virtually impossible to provide too much), with straightforward language\\xa0\u2013 like you would with a new employee or intern. Try new things. Test, tweak, redeploy.\"\n      })]\n    })\n  }, {\n    id: \"J41fdSQNv\",\n    [c]: !0,\n    [h]: \"50 AI Terms, Phrases, and Acronyms To Know\",\n    [d]: \"45-ai-terms-phrases-and-acronyms-to-know\",\n    [p]: \"2023-11-15T00:00:00.000Z\",\n    [m]: \"9 min\",\n    [g]: \"Dean Gebert\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/RsBMUZ9M6Ea0L4IqEO2Qscsccw.svg\"\n    }, \"\"),\n    [f]: \"vYNvyvOb8\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/p7S3dJ7k76RKF0LCjsDLglFM38.png\",\n      srcSet: \"https://framerusercontent.com/images/p7S3dJ7k76RKF0LCjsDLglFM38.png?scale-down-to=512 512w, https://framerusercontent.com/images/p7S3dJ7k76RKF0LCjsDLglFM38.png?scale-down-to=1024 1024w, https://framerusercontent.com/images/p7S3dJ7k76RKF0LCjsDLglFM38.png?scale-down-to=2048 2048w, https://framerusercontent.com/images/p7S3dJ7k76RKF0LCjsDLglFM38.png 2224w\"\n    }, \"50 AI Terms to know\"),\n    [y]: \"The Comprehensive Guide to AI Terms, Phrases, and Acronyms\",\n    [b]: \"Explore our in-depth guide covering essential AI and machine learning terms. From AGI to Vector Databases, learn about AI concepts, techniques, and applications. Ideal for beginners and professionals seeking clarity in the rapidly evolving field of artificial intelligence.\\n\\n\\n\\n\\n\",\n    [v]: I({\n      src: \"https://framerusercontent.com/images/425F6777dV5E8AWhm1DfsvdarnA.svg\"\n    }, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Want to dig deeper into AI? Want to develop a better understanding of how it works? These 50 AI terms, phrases, and acronyms will help you build your knowledge base.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"If any of the below AI terms are still unclear or if you want to chat about anything AI related, please send an email to \", /*#__PURE__*/e(i, {\n          href: \"mailto:hi@kindo.ai\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"hi@kindo.ai\"\n          })\n        }), \" and we\u2019ll be happy to go into more detail.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"AI (artificial intelligence)\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI is an acronym that stands for artificial intelligence. It refers to machines being able to perform tasks that normally require human intelligence. This includes tasks like visual perception, speech recognition, decision-making, and translation between languages. AI systems are made possible through machine learning and training data that allows algorithms to improve over time.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"AGI (artificial general intelligence)\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AGI is an acronym that stands for artificial general intelligence. This refers to a hypothetical AI that has intelligence like a human across multiple domains. Current AI technology is considered narrow artificial intelligence because it focuses on specific tasks rather than general adaptability. AGI has not yet been achieved and may not be possible with current approaches.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Backward chaining\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Backward chaining is a reasoning method used in expert and rule-based systems. It starts with a goal and works logically backwards to determine what actions will achieve that goal by analyzing if the preconditions for achieving the goal are met.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Bias\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In machine learning, bias refers to a model incorrectly favoring one outcome over others due to patterns in its training data. This can cause issues in areas like facial recognition where a model may perform better on lighter skin tones, showing bias against darker skin tones. Bias must be carefully monitored and corrected in AI systems.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"5\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Blind prompting\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Blind prompting is an AI technique where the user provides a textual prompt and the artificial intelligence responds without using any additional context like images or knowledge bases. Blind prompting relies entirely on the pattern recognition from the model's training data, which can limit its basic understanding and lead to incorrect assumptions.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"6\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Clustering\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'An unsupervised machine learning technique where data is grouped together based on similarities. Similar data points are organized into clusters, with points within a cluster being more similar to each other than points in other clusters. Clustering requires the algorithm to define what \"similar\" means for the particular problem and data.'\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"7\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Computer vision\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Computer vision is what enables machines to interpret and understand visual information from the world, similarly to the way the human visual system perceives and comprehends images or videos. The primary goal of computer vision in AI is to develop algorithms and systems that can automatically extract, analyze, and interpret visual data, enabling machines to make decisions or take actions based on the information they derive from images or videos.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"8\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Data lake\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A data lake is a system for storing vast amounts of raw data in its native format until it's needed. It allows data to be accessed and analyzed without loading it into a data warehouse. Data lakes provide scalability and flexibility but require more data governance processes due to the unstructured nature of the data.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"9\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Data mining\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Data mining refers to the application of automated techniques and algorithms to uncover patterns, insights, and knowledge from large datasets. Data mining enables machines to analyze data and uncover hidden relationships and trends. It involves the use of machine learning algorithms, statistical methods, and computational models to identify meaningful patterns that can contribute to the training and improvement of AI systems.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"10\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Decision tree\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A decision tree is a model that predicts outcomes by learning if-then decision rules from data features. They have a tree structure, with leaves as labels and branches as rule conditions. They are interpretable but can overfit, need discrete features, and may struggle to generalize. Despite limitations, decision trees remain a popular machine learning model.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"11\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Deep learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Deep learning is a branch of machine learning based on artificial neural networks. Deep learning neural networks have multiple layers that learn progressively more abstract representations of data. Deep learning models require massive amounts of labeled training data and computing power, but can perform extremely well for tasks involving imagery, text and speech.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"12\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Embedding\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Representing elements in a dataset as vectors of real numbers is called embedding. Embeds allow similar elements to have similar representations that machine learning models can detect. Embeddings reduce data sparsity and improve pattern recognition in AI algorithms.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"13\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Few-shot learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'Few-shot learning is an artificial intelligence technique that can learn from very small datasets. It relies on already-learned concepts to generalize from very few examples or \"shots\" through data augmentation and transfer learning. Few-shot learning is helpful for situations where large labeled datasets are not available.'\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"14\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Fine-tuning\"\n          })\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"br\", {}), \"Fine-tuning refers to the process of adjusting the parameters of a pre-trained AI model to adapt it to a specific task or domain. When a model is pre-trained on a large dataset for a general task, such as image recognition or natural language processing, fine-tuning allows the AI system to specialize and perform well on a more specific task or dataset. Instead of training the model from scratch, the process takes advantage of the knowledge already embedded in the pre-trained model, adjusting its parameters through additional training on the target task or dataset.\"]\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"15\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Forward chaining\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Forward chaining starts with known facts and uses inference rules to deduce new facts until reaching a goal. It simulates human reasoning from what is known to arrive at new conclusions. But forward chaining can examine all possible rules at each step, so it tends to be inefficient compared to backward chaining which works backwards from the goal.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"16\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Framework\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A basic conceptual structure used to solve broad classes of problems is known as a framework. For example, machine learning frameworks provide tools and libraries that allow developers to build machine learning models faster and more easily. Frameworks standardize common steps to make AI development more efficient.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"17\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Fuzzy logic\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Fuzzy logic is an approach to reasoning that accounts for partial truths rather than pure true or false values. Fuzzy logic variables can have a truth value that ranges between 0 and 1. This degree of truth allows fuzzy logic to account for ambiguous or complex scenarios where clear binary logic breaks down. Fuzzy systems are useful when rules are imprecise or qualitative.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"18\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Generative AI\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Generative AI is an approach to artificial intelligence that focuses on machines that can generate new content like images, text, audio, or videos. Generative AI learns patterns and rules from data and uses those to create new, similar content. While impressive, generative AI systems are still narrow and can only imitate specific domains found in their training data.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"19\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Hallucinations\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Hallucinations occur when generative AI models produce false or nonsensical output. Language models in particular may hallucinate information that is factually incorrect, illogical, or simply made up due to a lack of high-quality training data. Hallucinations highlight the limitations of current AI technology and the need for continued responsible development and oversight.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"20\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Hashes\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Hashes are a transformed text generated from an algorithm to create a unique identifier for a piece of data, like a password or digital file. The same input will always produce the same hash. Hashes make it easy to compare data for similarities or differences without revealing the actual contents, providing a level of security. Hashed data is one-way only, meaning the original input cannot be determined from the hash.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"21\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Human in the loop\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'An AI solution that involves human feedback and input as part of its operation is referred to as \"human in the loop.\" This approach reduces risks from fully automated AI and leverages the strengths of both humans and machines. However, over-reliance on human input can introduce bias and limit the speed and scalability of an AI system.'\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"22\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Inferring\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Innferring is the act of deriving logical conclusions from facts and assumptions. Inference engines are software components that implement techniques for automated reasoning and inference. Inference helps the AI system reach conclusions that go beyond the training data it was explicitly given.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"23\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"LLM (large language model)\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"LLM is an acronym that stands for large language model. It refers to a deep neural network trained on a massive amount of text data. LLMs can generate text or predict what comes next in a given sequence. However, LLM's still struggle with logical inconsistencies and can show bias when generating text about certain topics.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"24\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"ML (machine learning)\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"ML is an acronym that stands for machine learning, the study of algorithms that improve automatically through experience and data. Machine learning algorithms build models from data to make predictions without being programmed explicitly. Though useful in many apps, machine learning systems struggle with bias, a lack of explainability, and not generalizing outside narrow use cases. Machine learning requires monitoring and corrective action to ensure proper functioning.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"25\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Model\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A model is a mathematical representation of a real-world process or concept. Machine learning models are trained using input data to make useful predictions. Models become more accurate as they are exposed to more training data and examples of the concept they are attempting to represent. For example, ChatGPT is a language model.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"26\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Neural network\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'A neural network is a type of machine learning model inspired by the human brain. Neural networks contain layers of nodes that can uncover patterns through exposure to data. They are well suited for complex patterns and prediction problems but remain a \"black box\" that is difficult for humans to interpret.'\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"27\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"NLG (natural language generation)\"\n          })\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"br\", {}), \"NLG stands for natural language generation. NLG is the process of automatically producing natural language text or speech from structured data or information. In other words, NLG involves the transformation of data into human-readable language. The goal of NLG is to enable machines to generate coherent and contextually relevant content that mimics human conversation.\"]\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"28\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"NLP (natural language processing)\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"NLP is an acronym for natural language processing, a branch of AI focused on teaching machines to understand, process, and generate human language. Natural language processing techniques enable tasks like machine translation, conversational agents, automatic speech recognition, text or voice commands, and text analytics. These systems analyze text for parts of speech, semantics, syntax and context to comprehend its meaning beyond individual words. However, natural language remains complex and nuanced, posing challenges for current NLP models.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"29\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Output\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Output refers to the result that an AI model produces from a given input. Output depends on the type of task the model is trying to perform. Garbage in, garbage out still applies - if a model's training data is incomplete or biased, its output will reflect that.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"30\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Parameter\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In a neural network, parameters are the weights and settings that control how it processes data that\u2019s fed into it. Think of these like knobs that let you control and change things on an electronic device.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"31\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Persona\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A role that someone adopts as an effort at imitation. In AI, personas help simulate more natural human conversations by allowing models to adopt different speaking styles and personalities. However, AI personas are superficial and not true emotional intelligence.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"32\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Prompt\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A prompt is instructions you give an AI program to get it to do or say something specific. The prompt gives the AI context and details to help it make its response. Well-written prompts can help the AI's answer be useful, accurate, and not offensive. But even good prompts need a person to check the AI's work. The AI might get things wrong without somebody looking over its answer.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"33\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Prompt engineering\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Prompt engineering is the process of developing prompts for generative AI models to improve the relevancy and quality of the responses. Prompts help define the task and condition the model, but still require human oversight to avoid toxicity and uneven performance.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"34\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Reinforcement learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Reinforcement learning is a type of machine learning that focuses on training agents to make sequential decisions in an environment to maximize a cumulative reward. Unlike supervised learning, where the algorithm is trained on labeled examples, and unsupervised learning, which deals with unlabeled data, reinforcement learning involves an agent interacting with an environment and learning from the consequences of its actions.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"35\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Sand-bagging\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Sand-bagging means holding something back on purpose to trick others. With artificial intelligence, programmers make the computer program seem less smart than it really is to fool competitors or under promise and over deliver to customers. Programmers can use it to hide an AI system's full abilities.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"36\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Self-supervised\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Self-supervised training is a machine learning technique where unlabeled data is used to train an AI model. Themodel generates its own supervisory signals for learning, without human-labeled data. This approach can utilize vast amounts of readily-available unlabeled data but still faces limitations when trying to fine-tune for narrow tasks that require labels.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"37\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Sentiment analysis\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Sentiment analysis refers to the process of identifying subjective information and attitudes in text data. Sentiment analysis determines whether the tone of a text is positive, negative or neutral. While useful, sentiment models still struggle with complex topics, sarcasm and subtle shifts in tone that humans pick up on.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"38\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Semi-supervised\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Semi-supervised training is a machine learning technique that uses both labeled and unlabeled data for training. It can achieve high accuracy with a small amount of human-labeled data with the help of large amounts of unlabeled data. However, unlabeled data must still be screened for bias, outliers, and issues that impact model performance.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"39\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Structured data\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Structured data is organized information stored in a way a computer can easily understand. It uses things like tables, fields, and relationships. Examples are spreadsheets, databases, and forms. Structured data is neat and clean so machines can sort and analyze it easily.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"40\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Supervised learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Supervised learning is a training method that pairs a piece of data with an appropriate label. For example, if the model is supposed to identify pictures of food, it will be trained with a picture of an apple and a label that reads \u201Capple.\u201D\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"41\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Tagging\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Tagging is the process of annotating data points with additional information, like keywords or categories. Tags help organize data and make it easier to search, filter and classify. However, tagging relies on human input that can introduce bias and errors into the data. Consistent tagging guidelines help improve quality.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"42\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Temperature\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Temperature represents a parameter in natural language models that controls how creative or generic the generated text is. Higher temperatures produce more creative but possibly less accurate outputs. However, even at lower temperatures language models still struggle with factual accuracy, appropriate content and logical consistency.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"43\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Token\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A token is the smallest bit of text an AI program works with. In natural language processing, tokens can be words, numbers, or symbols. The program breaks sentences into individual tokens before analyzing them to identify patterns. This helps the machine's ability to understand grammar and how words relate to each other. But tokens alone don't capture context or shades of meaning in the full text.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"44\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Training data\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Training data refers to the information used in machine learning training. Artificial intelligence technology learns pattern recognition through the training data in order to make accurate predictions on new data. The quality, diversity and size of the data heavily impacts the effectiveness of the resulting AI model.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"45\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Transferring\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Adapting a machine learning model trained for one task to a different but related task is known as transferring. This often improves the performance of the new artificial intelligence model compared to training from scratch. However, transferring still requires fine-tuning the AI model to the new task and data to achieve the best results.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"46\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Unstructured data\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Unstructured data is information that does not have a clear format like numbers in a table. It includes things like text documents, images, audio files, and videos. Because unstructured data is messy and unorganized, it is hard for computers to sort and analyze. AI programs have to read through a lot of unstructured data to find patterns and make sense of it. Compared to structured data that is more organized and easier for computers to understand.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"47\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Unsupervised learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Unsupervised learning is training where the data does not have any labels associated with it. Instead, it processes such a large amount of data that it\u2019s able to make associations. For example, ChatGPT went through unsupervised learning. It\u2019s able to have a conversation about any topic because it wasn\u2019t trained on a specific topic.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"48\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Vector Database\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A vector database is a special kind of database used mainly in AI and machine learning. It's different from regular databases because it deals with vector data. Think of these as long lists of numbers that represent things like pictures, words, or sounds in a way that computers can understand and work with. These databases are really good at quickly finding and comparing these lists to find matches. This is super helpful for things like suggesting products, recognizing images, or understanding language. Essentially, vector databases help computers quickly sort through and make sense of complex information.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"49\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Workflow\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A workflow is a series of steps, or prompts, needed to finish a job. Workflow describes the process an AI program follows from start to the end result. Having a good workflow helps make sure the AI program works the right way and produces useful results. But human oversight is also important because AI systems can get stuck in bad workflows that don't actually help.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"50\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"h2\",\n          children: /*#__PURE__*/e(\"h2\", {\n            children: \"Zero-shot learning\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Zero-shot learning is an AI technique that allows models to perform tasks without being trained directly on those tasks. The model learns from other related tasks to generalize to the new task. However, zero-shot learning models still struggle with complex tasks that require a large and diverse dataset for direct training.\"\n      })]\n    })\n  }, {\n    id: \"WRJ78YmNC\",\n    [c]: !1,\n    [h]: \"Crafting Unforgettable Follow-Up Emails After Job Interviews\",\n    [d]: \"crafting-emails-after-job-interviews\",\n    [p]: \"2023-11-14T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"Steve Roberts, VP of Marketing\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/1oE9kZO5nKCBCBoLxEdFu85YIaE.jpg 6000w\"\n    }, \"Crafting Email\"),\n    [y]: \"Crafting Unforgettable Follow-Up Emails After Job Interviews: Best Practices\",\n    [b]: \"Learn how to create impactful follow-up emails after job interviews. Get tips on thank you notes, follow-up email templates, and determining optimal follow-up frequency from the hiring manager's perspective.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"After a job interview, sending a follow-up email is essential. It's a key step many job seekers neglect post-interview. When you send a thoughtful thank you email to the hiring manager you can positively impact their decision during the hiring process.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"However, amidst multiple job searches, job opportunities, and interviews, it could be challenging to send timely follow-up emails. That's where automating your follow-up emails after an interview comes in.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In this post, we\u2019ll explore how to create an impactful follow-up email after an interview, the hiring manager's perspective on follow-ups, and how to make your follow-ups really stand out.\\xa0\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Hiring Manager\u2019s Perspective on Follow-Up Emails\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"According to a \", /*#__PURE__*/e(i, {\n          href: \"https://press.roberthalf.com/2012-06-14-Survey-Reveals-Email-Phone-Call-Are-Preferred-Methods-for-Post-Interview-Follow-Up\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"CareerBuilder\"\n          })\n        }), \" survey, 22% of employers are less likely to hire a candidate who neglects to send a thank you, while 91% like being thanked. These emails demonstrate job seekers' professionalism and interest in the job role. Thank you notes demonstrate professionalism, keenness, and attention to detail. With a multitude of candidates applying for job roles, a timely follow-up can make you stand out to potential employers.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"However, excessive follow-up emails can be counterproductive. It\u2019s crucial that these emails add value for the hiring manager and align with the company culture.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Crafting the Perfect Follow-Up Email After an Interview\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The first follow-up email you\u2019ll want to send is a thank you note to your interviewers right after the interview. This is a crucial part of your post-interview follow-up. Here are seven recommendations:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Send the email within 24 hours of the interview while it's still fresh in the hiring manager's mind.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Proofread all follow-up emails ensuring they're free from errors.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Use a professional email address, avoiding overly casual ones.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Have the job title, company name, and potentially the interview date in the subject line. For example, \u201CThank You for Software Engineer Interview at XYZ Company\u201D\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Be patient during the hiring process; hiring decisions often involve multiple steps and considerations.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Customize any follow-up email templates, ensuring messages don\u2019t appear robotic. Individually thank each person who interviewed you, mentioning something specific you discussed or a question they asked to personalize the note.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"If opting for a phone interview follow-up, ensure it's brief and polite. But remember, email follow- ups often resonate better with hiring managers.\"\n          })\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Many professionals also use follow-up email templates to streamline this process. Ask an AI to generate the follow up email for you. Use \", /*#__PURE__*/e(i, {\n          href: \"https://app.kindo.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Kindo\"\n          })\n        }), \" with the prompt:\"]\n      }), /*#__PURE__*/e(\"ul\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Write me a follow-up email after this job interview for a [job title] role. It should convey gratitude, excitement, and interest in the role. Include that we talked about [personal anecdote] in the interview.\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Keep excellent follow-up emails as templates to reuse and personalize, as needed. Here\u2019s an example:\\xa0\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Dear [Hiring Manager],\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Thank you again for taking the time to interview me yesterday for the [JOB TITLE] role. Our conversation - especially the fun chat about our shared interest in [PERSONAL ANECDOTE]! - made me even more excited about the possibility of joining your team.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"I greatly appreciated learning more about the projects and collaborative culture at your company. The role seems like an excellent fit for my skills and experiences in [INDUSTRY]. I'm genuinely enthusiastic about this opportunity to grow my abilities in a supportive environment.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Our discussion reinforced that this is exactly the type of position I've been searching for. Please let me know if there is any additional information I can provide to further demonstrate why I would make a great addition to your team.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"I sincerely hope to have the chance to work with you. Thank you again for the engaging interview. I look forward to hearing back from you regarding next steps.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Sincerely, [Your name]\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"After the initial thank you email, if the hiring decision isn\u2019t communicated in about a week, it's advisable to send a second follow-up email.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How Many Times Should You Follow Up?\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"After your initial thank you, if you don\u2019t receive any status update regarding the hiring decision within about a week, consider crafting a polite check-in that reflects your continued interest in the job opportunity. Following up shows you\u2019re still committed to the job search. Limit follow-up emails to ensure you don't come off as too persistent. Here are some additional tips:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Reiterate your interest in the position and fit for the job role.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Inquire if they require any more information or additional details from you.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Express that you look forward to hearing about the timing of the hiring decision process.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"11px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Stay patient, understanding that hiring processes can sometimes extend for weeks or even months.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Nevertheless, avoid sending excessive or late follow-up emails, which may come across as a sign of disinterest or negligence. Ensure any follow-up emails add value for the hiring manager and resonate with the company culture.\\xa0\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Stand Out From the Competition\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Following up politely and professionally after a job interview is an essential step for any job seeker. Timely, thoughtful follow-ups demonstrate your appreciation, enthusiasm, and attention to detail. While it's important not to overdo it, a well-crafted follow-up email or two can make a strong impression on a hiring manager amidst fierce competition.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With some planning and effort, you can craft memorable follow-ups tailored to each interview and company. Showcase your communication skills while aligning with the company's culture. With the right follow-up strategy, you can gain an edge and stand out from the crowd, potentially landing your dream job. The extra time invested is well worth it to make a lasting positive impact.\"\n      })]\n    })\n  }, {\n    id: \"kM0fXRpgV\",\n    [c]: !1,\n    [h]: \"How to Use AI to Build Your Digital Marketing Plan\",\n    [d]: \"leverage-ai-to-build-marketing-plan\",\n    [p]: \"2023-11-09T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"Steve Roberts, VP of Marketing for Kindo.ai \"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/Ovs1ygi9z7RYBSnznqhaoruedw.jpg 6000w\"\n    }, \"Team of Marketers\"),\n    [y]: \"How to Use AI to Build an Effective Digital Marketing Plan\",\n    [b]: \"Learn how to leverage AI to create a competitive digital marketing plan. Discover strategies to set goals, target your audience, and optimize campaigns.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"There\u2019s something powerful about the act of planning, isn\u2019t there? Things don\u2019t always go according to plan, but they do turn out better for having done that work. For any business that wants to grow its online presence, creating a comprehensive digital marketing plan is crucial. The right plan will help ensure you can effectively reach your target audience, boost your brand\u2019s awareness, and increase sales.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"But planning takes time, effort, and expertise. This is where AI comes in\u2014it can help provide a bit of each of those. AI transforms marketing both by automating repetitive tasks, but also by providing data-driven insights into your strategy. If it\u2019s an AI like Kindo, its models were trained on datasets rich with publicly available marketing plans and it can help you build a truly SEO-competitive digital strategy. Let\u2019s see how.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Ask It to Define Your Goals\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The first step in creating a plan is to establish your goals. What do you want to achieve through your online marketing efforts? Are you looking to boost brand awareness, increase website traffic, generate more leads, or increase sales? (Or let\u2019s be real, all of those in order.) Defining clear goals and ranking them in order of priority will shape your overall strategy. For instance, if your goal is to grow website traffic above all else, your strategy should focus on SEO, content creation, and backlink building.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"How would you rank these goals for yourself?\\xa0\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Brand awareness\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Website traffic\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Website conversions\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Leads\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Sales\\xa0\"\n          })\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"An AI like \", /*#__PURE__*/e(i, {\n          href: {\n            webPageId: \"augiA20Il\"\n          },\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Kindo\"\n          })\n        }), \" can help with this. If you tell it about your product, your current sales strategy, and what your competitors are doing, it can suggest which goals to focus on.\"]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Conduct Market Research With AI\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Market research is the (usually quite cumbersome) process of uncovering insights into your target audience, competitors, and industry trends. Who\u2019s buying, and where? Can they be grouped into segments? How are other companies serving them?\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Market research requires surveys, focus groups, and data analytics, and you will still need those to do the very best job. But AI can speed up the process somewhat with instant best-guesses based on all the information in its training set. It can give you a first pass on market research and conduct sentiment analysis on social posts or customer interview transcripts to reflect things back to you about your own product or buyer.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"An AI-powered tool can analyze your current information to provide info about your target demographics, pain points, and buyer journeys. AI can take some of the guesswork out of market research so you can create faster persona profiles, choose competitive keywords you wouldn\u2019t have thought of, and identify key messages that resonate.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Create Buyer Personas With AI Assistance\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Developing detailed buyer personas is essential for your strategy. These are snapshots of your buyer founded in real research to help you think like them when crafting your marketing plan. Ask your AI tool to analyze your existing data like demographics, behavior, interests, purchase history, and needs (both stated and revealed) to create customized personas. This makes it easier to tailor your messaging, visuals, and campaigns to resonate with your audience, because you can glance at that persona and think, \u201CWould they find this appealing?\u201D\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Choose the Right Marketing Channels With AI Recommendations\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"From social media to SEO to email marketing, today\u2019s marketers have endless channels to choose from\u2014which is freeing, but can leave you feeling paralyzed. AI like Kindo can remove some of the guesswork by analyzing your personas, competitors, past performance data, and industry benchmarks. It can recommend an ideal channel mix along with budget allocation advice. For instance, it may suggest investing 40% of your budget into SEO to rank for high-traffic keywords. This data-backed insight helps maximize your marketing ROI. (This is just an example, of course.)\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Set Powerful KPIs With AI Support\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Key performance indicators, or KPIs, are metrics that measure the success of your campaigns. Examples include the number of leads generated, how much traffic has grown month-over-month, or the revenue run rate. Setting the right KPIs requires an understanding of your business goals and data analysis. And if your analytics tool uses AI, which excels at crunching numbers, it can suggest those key performance indicators (KPIs) as well as identify anomalies in the data where you should focus your attention. This allows you to tweak campaigns that aren\u2019t delivering results.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Create High-Converting Content\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Content marketing is essential for attracting and engaging your target audience. But creating high-quality blog posts, videos, and other content requires significant time and human thought. AI content tools can help with pieces of that process. It can generate entire blog posts (though beware, this is the same generic content others can create, and so, without editing, may not rank well on Google). But AI is even better at short-form writing such as social media posts optimized for your brand and keywords.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Regardless of format, you provide Kindo the overall topic and key points, it generates the outline (or completed text), and you can edit to ensure the insights are fresh and unique. In this way, it can help you create a steady stream of fresh, SEO-friendly content that resonates with your audience and boosts lead generation without draining your team\u2019s resources.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"More ideas for writing with AI:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Brainstorm ideas\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop counterintuitive topics\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Challenge your own thinking\u2014\u201CWhat am I missing here?\u201D\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop short-form writing like headlines, email subject lines, and social posts\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop long-form outlines\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop campaign plans\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(0, 0, 0)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Develop long-form writing\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Optimize Paid Campaigns With AI Insights\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Paid platforms like Google Ads and Facebook Ads are often your quickest means of getting your message before your target buyer. But, you pay for it. Running profitable paid ad campaigns requires you to be constantly testing, refining, and ensuring that you\u2019re actually seeing a return on your ad spend (known as ROAS). AI can of course help with this too.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI can crunch large volumes of performance data to give you a second opinion on which ads to run more frequently, or what to change about them. It\u2019ll provide recommendations for increasing their relevance, lowering your cost per click, adjusting the bids, and more. (Though the advice will be general and not specific to any one ad platform.) Some AI can also provide predictive analytics to model the outcomes of your proposed ad variations.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Refine Your SEO Strategy\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"If you want to rank high in search engines, two motions are necessary: technical SEO optimization and to produce an ongoing stream of high-quality content. And wouldn\u2019t you know, AI can assist with both. It can generate what are known as \u201Con-page\u201D and \u201Coff-page\u201D recommendations\u2014things to change about your site architecture like sitemap, enriched meta descriptions, page speed, and copy and imagery recommendations. AI can also suggest high-performing, low-competition keywords based on your existing content, to suggest ones to invest more in, and suggest gaps. This SEO assistance may increase your search visibility and website traffic from organic searches.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Create an Editorial Calendar\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"An editorial calendar outlines your content creation strategy over weeks or months, and it\u2019s a good reminder that in marketing, it plans to think ahead. Most digital marketers never escape \u201Cfire drill\u201D marketing where everything\u2019s an emergency, they\u2019re always behind, and they can\u2019t plan. If you establish a calendar, you can set some guidelines with your organization that gives you more room to breathe and teaches everyone to think on longer timelines. Having that calendar can ensure you have a consistent drumbeat of content tailored to your goals. Kindo\u2019s AI can suggest what should go on that editorial calendar, including blog topics optimized for your personas and keywords.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Devise a Plan to Use AI Chatbots\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Chatbots are those \u201Clet\u2019s chat\u201D bubbles on companies\u2019 websites that typically put people in touch with a bot and then a person. Chatbots weren\u2019t that great in the past, but now, AI-powered ones are extremely effective at answering your prospects\u2019 questions, and even qualifying them as leads. It helps prospects learn more about your products without having to navigate the website, and helps you understand what questions they have.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Chatbots also never sleep, so they can engage visitors around the globe 24/7 while you and your team are sleeping.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Evaluate and Refine Your Efforts\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Once your plan is in place, use AI analytics to monitor performance and fine-tune your approach. AI-assisted reporting can provide a holistic picture across channels to identify high-performing campaigns as well as those needing improvement. You can then adjust the messaging, format, cadence, and more.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In this way, AI enables you to continually optimize your marketing strategy, and continue to improve upon your plan.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How Do You leverage AI in digital marketing? Have it Build the Plan\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI is revolutionizing digital marketing in myriad ways, and it now has the marketing chops to help you build your digital marketing plan. To recap, here are a few of the key ways to apply it:\"\n      }), /*#__PURE__*/t(\"ul\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Conducting market research faster through data analysis and predictive modeling.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Creating detailed buyer personas using demographic and behavioral data.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Identifying the optimal marketing channels and budget allocations for campaigns.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Generating high-converting content tailored to your brand and audience interests.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Optimizing paid campaigns through testing and analytics.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Improving SEO rankings with keyword and website analysis.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Developing an editorial calendar to map out content promotion.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Implementing chatbots to engage customers 24/7.\"\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"13px\",\n            \"--framer-text-color\": \"rgb(22, 25, 37)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Evaluating performance across channels and fine-tune strategies accordingly.\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"By leveraging AI, you can create data-driven digital marketing plans that connect with audiences and drive real results. The power of AI allows you to optimize every aspect of your digital marketing approach. And free you to do more of the human aspects of marketing\u2014like editing this article.\"\n      })]\n    })\n  }, {\n    id: \"yZqvoX0Rh\",\n    [c]: !1,\n    [h]: \"How to Use AI for Sales Automation\",\n    [d]: \"how-to-use-ai-for-sales-automation\",\n    [p]: \"2023-11-07T00:00:00.000Z\",\n    [m]: \"6 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/67c7IlEU1SrF2hay1J87G1fULY.svg\"\n    }, \"VP of Marketing for Kindo\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/c4uX0ndaBz2oKcoXKLuooq3gueM.jpg\",\n      srcSet: \"https://framerusercontent.com/images/c4uX0ndaBz2oKcoXKLuooq3gueM.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/c4uX0ndaBz2oKcoXKLuooq3gueM.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/c4uX0ndaBz2oKcoXKLuooq3gueM.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/c4uX0ndaBz2oKcoXKLuooq3gueM.jpg 4076w\"\n    }, \"marketing tactics\"),\n    [y]: \"How to Use AI for Sales Automation\",\n    [b]: \"Learn how AI automation tools like machine learning are transforming sales processes like lead generation and qualification. AI improves sales efficiency\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Artificial intelligence (AI) has transformed many industries, even those previously reliant on humans and people skills\u2014and sales is no exception. AI sales automation tools are revolutionizing the way companies prospect, qualify leads, and close deals. In this article, we\u2019ll explore how you can use AI to boost sales productivity, effectiveness, and seller happiness.\\xa0\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How Can AI Be Used for Sales Planning? Let Us Count the (5) Ways\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Yes, sales is highly reliant on humans, but lots of those activities are repetitive, boring, and not actually driving sales. Just ask a salesperson or think about your own day. Scrolling through people\u2019s profiles online to see where they work, saving that information in the CRM, logging notes, and updating deal statuses after each call\u2014and so much else is unfun and not a great use of your talents.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"And there\u2019s a correlation between activities human sellers don\u2019t like doing and the ones AI tools like Kindo excel at. AI is particularly good at automating repetitive, high-volume sales tasks (aka, the boring stuff).\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Here are some ideas for applying AI in sales\u2014and while it doesn\u2019t handle all of these tasks completely yet\u2014it can save you vast amounts of time:\"\n      }), /*#__PURE__*/e(\"ol\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Generating leads\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"One of the most time-consuming aspects of sales is finding and sourcing new leads. AI automation tools like machine learning algorithms can identify potential customers based on multiple data points. You can find these types of lead-generating AI in lots of different sales enablement tools.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"And then, there\u2019s the trouble of sorting those leads to find qualified ones to reach out to. And for that, you can use Kindo, which can ingest a prospect\u2019s social media posts, website traffic, previous purchases, or other publicly available data to determine whether someone would be a promising lead. This allows you to spend less time prospecting and more time reaching out to the right people.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Qualifying leads\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Once you\u2019ve identified a lead, you need to qualify them to determine if they\u2019re worth selling to. What seems like a great lead can often not be, because they\u2019ve changed jobs, lost budget, lost team members, or any number of factors you can\u2019t know until you ask. AI tools can automatically analyze your call notes plus the lead\u2019s demographics, behaviors, and past interactions. Ask it to score leads on criteria like relevance, influence, and budget to prioritize which one. You can then start with the highest-scored (or highest-likelihood) leads.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Personalizing Content\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI excels at gathering customer data from various sources, analyzing it to identify preferences and pain points, and then suggesting ways to personalize written content. Some enterprise chatbots can have personalized conversations at scale to learn about prospects\u2019 needs, and you can do something similar in Kindo. AI content creation tools can make best guesses to customize collateral, emails, and messaging.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Conversation Intelligence\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI conversation intelligence tools can listen in on sales calls and analyze the dialogue. (With Kindo, just give it your transcript.) The machine learning algorithm can detect key phrases, topics, objections, and questions. This gives sales reps real-time cues on how to steer the discussion. Conversation intelligence also informs reps on best practices by examining past call outcomes.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"5\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Data Analysis\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With huge volumes of customer data, sales needs AI to spot insightful trends and patterns. An AI analytics engine can combine information from marketing automation platforms, CRM systems, email systems, and other sources, to help you make sense of them. It can predict ups and downs in pipeline and forecast future pipeline and revenue. These data-driven insights can thus inform how many outbound activities you should be getting in, help you avoid feast-and-famine syndrome, and improve your sales productivity.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"5 Uses Cases for AI in Sales Automation\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In addition to planning activities, AI can help automate some of that drudgery we talked about in the introduction. AI can unleash powerful automation capabilities that make sales processes more efficient and consistent. Here are some examples:\"\n      }), /*#__PURE__*/e(\"ol\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Lead Follow-Up\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Following up with every new lead is essential, and you have to do so quickly. But manually contacting all those prospects daily is hugely time-consuming and fractures your attention. AI tools like Kindo can generate emails for your team while AI sales engagement solutions can automatically send initial outreach emails or texts within seconds or minutes of capturing a lead. Quick personalized follow-up at scale boosts connections.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Meeting Scheduling\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Back-and-forth emails negotiating meeting times are themselves a waste of time. AI scheduling assistants can integrate with your calendar and automatically suggest optimal times to meet. By factoring in the lead\u2019s preferences and availability, AI scheduling cuts the coordination workload.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Contract Analysis\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Reviewing contracts is a manual slog. AI can instantly scan agreements to check for errors, omissions, and red flags. For recurring contracts, AI can learn to flag unusual clauses. Used right, AI contract review tools catch issues early and reduce revenue leakage from suboptimal terms.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Data Entry\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Entering customer, product, deal, and other data from sales activities into CRM software is repetitive and cuts into selling time. AI data capture solutions can digest details from emails, forms, presentations, and documents and automatically log relevant info into sales systems like your CRM.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"5\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Email Productivity\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"You probably send hundreds of emails daily coordinating with prospects, colleagues, and partners\u2014and that\u2019s being conservative. AI helps prioritize the most important emails and can even generate intelligent email responses or meeting summaries. By handling mundane email tasks, AI email assistants boost productivity.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How Can AI Be Used in Marketing and Sales? Call it \u201CAI-alignment\u201D\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI also supercharges sales and marketing alignment for companies. AI enables tight cross-team integration in four areas:\"\n      }), /*#__PURE__*/e(\"ol\", {\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Predictive Analytics\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Misalignment tends to arise from marketing and sales looking at different numbers. AI can crunch the data on past campaigns to uncover the triggers that convert prospects at each stage and provide a fact base both teams can agree upon. Knowing which ads, emails, content, and sales tactics worked best helps continuously improve funnel conversion.\\xa0\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Dynamic Content\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"To coordinate sales and marketing messages, AI can serve up hyper-relevant content for each prospect at every touchpoint. AI analyzes behavior and activity to create customized web pages, emails, ads, and more tailored to each person. And that dynamic content is more likely to get results.\\xa0\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Intelligent Proposals\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Structuring and writing compelling proposals is time-intensive, and wouldn\u2019t you know it, past proposals are highly structured data that AI like Kindo excels at reading. An AI proposal workflow in Kindo can ingest that and ask a few questions about the prospect and opportunity and then instantly generates the proposal framework. The AI will even write whole sections based on examples of past winning proposals, ensuring consistency and best practices, though you\u2019ll undoubtedly have to edit that based on all you know about the prospect.\"\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          style: {\n            \"--framer-font-size\": \"14px\",\n            \"--framer-text-color\": \"rgb(67, 67, 67)\",\n            \"--framer-text-decoration\": \"none\"\n          },\n          children: /*#__PURE__*/e(\"p\", {\n            children: \"Shared CRM\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"If AI can help you and your fellow sellers automatically log information, that cleans up the CRM and provides marketing much better data to work with. It\u2019s not a fully unified CRM, but it\u2019s the next best thing, and fast. AI can then help marketing refine its targeting and coordination across channels.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Can You Really Afford Not to Use AI in Sales?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI can be transformative in sales. It can automate activities, generate leads, qualify prospects, develop messaging, and ensure you\u2019re most productive when coordinating with marketing. An AI solution like Kindo can automate manual processes at scale to boost efficiency and consistency. To stay competitive, embrace AI sales automation. The rewards are faster growth, reduced costs, and happier customers.\"\n      })]\n    })\n  }, {\n    id: \"M_mOGNWIs\",\n    [c]: !1,\n    [h]: \"What I\u2019ve Learned Building Two LLM-Powered Products this Year\",\n    [d]: \"learnings-about-building-llm-products\",\n    [p]: \"2023-11-02T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Margaret Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/cg6MoPQ8dcevhRxIo4DFZy6tnUY.svg\"\n    }, \"A profile picture of the author Margaret Jennings\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/IHaqoZrdqdVTykeIu6jkJFmIg.jpg 5760w\"\n    }, \"computer code\"),\n    [y]: \"What I\u2019ve Learned Building Two LLM-Powered Products this Year\",\n    [b]: \"Kindo co-founder, Margaret Jennings, shares her insights on how to successfully build an LLM-powered product through active design, quick wins, and human-ai collaboration.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"em\", {\n          children: \"This essay was written with the help of \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://kindo.ai/\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"Kindo\u2019s Claude model\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \".\"\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Building with LLMs\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Over the last year, we\u2019ve seen the emergence of large language models (LLMs) like ChatGPT go from an obscure AI research demo to a mainstream phenomenon. This rapid shift has caught many off guard, leaving us to wonder: what just happened?\\xa0\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"As someone who has built products (\", /*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-1-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"1\"\n          })\n        }), \", \", /*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-2-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"2\"\n          })\n        }), \") using LLMs at both OpenAI and Kindo, I\u2019ve experienced firsthand how quickly these models have evolved. Just a year ago, ChatGPT was a rough \u201Cresearch preview.\u201D Today, it is a leading consumer product with \", /*#__PURE__*/e(i, {\n          href: \"https://techcrunch.com/2023/09/11/ai-app-character-ai-is-catching-up-to-chatgpt-in-the-u-s/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"over 100 million users\"\n          })\n        }), \" and drives \", /*#__PURE__*/e(i, {\n          href: \"https://www.theinformation.com/articles/openai-passes-1-billion-revenue-pace-as-big-companies-boost-ai-spending\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"over $1 billion in enterprise sales\"\n          })\n        }), \".\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Independent AGI research labs have transformed into full-fledged product-led companies, capitalizing on the insight that full stack co-design with model training and product drives better model performance and cost structure.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The cascading effects of this Cambrian explosion in generative AI are accelerating productivity and sparking urgent policy debates. Amidst the frenzy, one thing is clear: LLM-powered products will continue rapidly transforming as we translate emerging research, regulation, and user needs into thoughtful design.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"So what have I learned from shipping two of GenAI products in the last year?\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"First: Active Design is Built In\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"LLM-powered products condense the traditional user research cycles. With non-LLM products, the product builder conducts user research before creating the tool to better understand the user\u2019s needs. They observe how others would use their tool, reviewing when the user picks up their tool or which queries they turn to for help.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"With LLM-powered products, we gain insights with each user interaction into how people collaborate with LLMs - what their expectations are, how they imagine they can rely on a product, and their own delegation of tasks. Through their collaboration, we can decipher users\u2019 working mental models on how to use the product, what its limitations are, and what they - the end user - accept as success. \", /*#__PURE__*/e(\"strong\", {\n          children: \"The products themselves become ongoing exercises in active design.\"\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Chatbots like ChatGPT, Bard, Poe, and CharacterAI showcase this well. They famously streamline knowledge retrieval (e.g. \u201CPlan a trip to Paris\u201D) and writing tasks (e.g. \u201CSummarise this pdf\u201D). Their primary interface is conversation. Users engage in discussion to steer the model towards successful outcomes. This requires grasping the model's capabilities and limitations, where success is predicated on the user's understanding.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Second: Start with Quick Wins\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"LLMs excel at summarization, categorization, and retrieval. Lean into these strengths early on to demonstrate value. At OpenAI and Kindo, we utilized simple product features like reading digests, tailored nudges, and semantic search to create delightful \u201Ca-ha!\u201D moments that educated users on the power of LLMs.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Most jobs involve finding answers and summarizing information. These are horizontal challenges, and can often be dizzying to help the user begin their product experience. By focusing LLM collaboration on one data source, the range of benefits become apparent. For example, a meeting video becomes a golden goose offering many options: transcribe, translate, summarize, write updates, and provide feedback. \", /*#__PURE__*/e(\"strong\", {\n          children: \"This single input highlights the LLM's plurality and helps your users imagine what else is possible.\"\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Optionality makes capabilities more discoverable. Design patterns introduce new modes of interaction. Nudges encourage productive patterns. Together, these tweaks streamline collaboration. They distill capabilities into lightweight interactions. The goal is to help users rapidly unlock an LLM's potential.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Third: Design for Human-AI collaboration\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"One common misconception is that LLMs are plug-and-play. Building a flexible infrastructure around a model is required to transform the model from a research environment to every day use.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Until recently, only engineers and scientists used LLMs. To make collaboration accessible, product builders must abstract complexity.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Researchers use \", /*#__PURE__*/e(\"strong\", {\n          children: \"prompt engineering\"\n        }), \" - which refers to providing the model instructions before completing a task - and \", /*#__PURE__*/e(\"strong\", {\n          children: \"few shot learning\"\n        }), \" - which refers to showing the model a few examples before asking the model to generate its own - to improve a model\u2019s performance.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"These methods of model steering are just the tip of the iceberg on how product and design are required to help non-engineers gain the same benefits.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"As a product builder, we can borrow from research and utilise features like system prompts (\", /*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-3-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"3\"\n          })\n        }), \"), style references, personas, and prompt rewriting (\", /*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-4-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"4\"\n          })\n        }), \") to abstract complexity so that anyone can benefit. Resources like \", /*#__PURE__*/e(i, {\n          href: \"http://dair.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"DAIR\"\n          })\n        }), \", \", /*#__PURE__*/e(i, {\n          href: \"https://www.anthropic.com/index/prompting-long-context\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Anthropic\"\n          })\n        }), \", and \", /*#__PURE__*/e(i, {\n          href: \"https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/2/guidelines\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Deeplearning.ai\"\n          })\n        }), \" help bridge the gap between research and product offering guidance on prompt engineering.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"At Kindo, we leverage \", /*#__PURE__*/e(\"strong\", {\n          children: \"few shot prompting with Style References\"\n        }), \" to improve our user\u2019s results. Our Style References let users share writing samples and style guides. This customizes the model\u2019s output to match the user\u2019s individual or brand voice versus relying on a generic style.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"We also created a \", /*#__PURE__*/e(\"strong\", {\n          children: \"Toolbox of Actions\"\n        }), \" supported by backend prompts that include personas and task descriptions. We support \", /*#__PURE__*/e(\"strong\", {\n          children: \"Auto-Categorization\"\n        }), \" to drive convenience, with custom models clustering our user\u2019s libraries into categories.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With each interaction, our users better understand how to collaborate with LLMs. As product builders, our goal is to continue to refine a product experience that reflects what LLMs do well, not just supporting the raw model capabilities.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Conclusion\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In one short year, LLMs have rapidly evolved from niche research to a mainstream force. Their cascading impacts spark productivity gains, policy debates, and urgent questions.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"My key insight? LLM-powered products condense the product design process. With each interaction, we gain insights to inform the next iteration. Moving fast doesn\u2019t mean compromising on thoughtfulness. If we build with users\u2019 mental models in mind, we can shape how these models impact society.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In conclusion, LLMs enable ongoing active learning, with each user interaction providing insight. Quick wins demonstrate strengths like summarization and retrieval, educating through delight. And thoughtful design abstracts complexity, empowering broad collaboration.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As LLMs continue proliferating, these principles will guide the translation of research into products. With emerging regulations and societal impacts, it is an open question where this Cambrian explosion leads next. But one thing is clear: the thoughtful co-design of models and design interfaces will determine how humanity benefits from this new Industrial Revolution.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"LLM-powered products are at the very beginning, with the extent of their impact yet unknown. But their development will be guided by the emerging lessons and priorities of today. With open and inclusive design, broad comprehension, and proactive policy, we can steer this technology towards empowering humanity\u2019s limitless potential. The path ahead remains open\u2014with care, we can navigate it together.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"\u2014\u2014\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"br\", {\n          className: \"trailing-break\"\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-anchor-1-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"1\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" The ChatGPT Enterprise Assistant for Morgan Stanley (\u201D\"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://www.cnbc.com/2023/03/14/morgan-stanley-testing-openai-powered-chatbot-for-its-financial-advisors.html\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"Morgan Stanley is testing an OpenAI-powered chatbot for its 16,000 financial advisors\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \"\u201D, March 2023).\"\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-anchor-2-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"2\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" Kindo, an open source-powered, secure platform for knowledge workers to collaborate with LLMs (\"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://venturebeat.com/ai/kindo-raises-7m-for-ai-productivity-platform-for-businesses/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"VentureBeats\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \", \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://www.youtube.com/watch?v=uieBVihWRHs&t=1s\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"YouTube Trailer\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \").\"\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-anchor-3-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"3\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" Here is \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://raw.githubusercontent.com/spdustin/ChatGPT-AutoExpert/66cf3fa911e232790d72c8e974d0600f131563a5/_system-prompts/all_tools.md\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"an example of a system prompt\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" from ChatGPT.\"\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://margaretjennings.substack.com/p/what-ive-learned-building-two-llm#footnote-anchor-4-138495160\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"4\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" CopyAI\u2019s \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://www.copy.ai/features/improve\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"Prompt Improver Feature\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \" which enhances the user experience with an LLM designed to engaged to analyze and refine a user\u2019s original prompt into something better.\"\n        })]\n      })]\n    })\n  }, {\n    id: \"OU4S6SU_b\",\n    [c]: !1,\n    [h]: \"What Might AI Regulation Look Like?\",\n    [d]: \"what-might-ai-regulation-look-like\",\n    [p]: \"2023-10-17T00:00:00.000Z\",\n    [m]: \"8 min\",\n    [g]: \"Magaret Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/cg6MoPQ8dcevhRxIo4DFZy6tnUY.svg\"\n    }, \"A profile picture of the author Margaret Jennings\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/HJmAaI7e7r4mpBu8Hb3QsjWAevY.webp\"\n    }, \"\"),\n    [y]: \"Shaping Global AI Regulation: Balancing Innovation, Ethics, and Managing Risks\",\n    [b]: \"As advanced AI like ChatGPT gains traction globally, countries explore regulation focused on safety, transparency and avoiding bias. Balancing innovation and risks is key.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/t(\"p\", {\n        children: [\"A lot has changed since ChatGPT\u2019s launch as a \u201CResearch Preview''. In under a year, it is one of the world\u2019s leading consumer and enterprise products with \", /*#__PURE__*/e(i, {\n          href: \"https://techcrunch.com/2023/09/11/ai-app-character-ai-is-catching-up-to-chatgpt-in-the-u-s/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"over 1.4B monthly views\"\n          })\n        }), \" and \", /*#__PURE__*/e(i, {\n          href: \"https://www.theinformation.com/articles/openai-passes-1-billion-revenue-pace-as-big-companies-boost-ai-spending\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"over $1B in enterprise sales reported\"\n          })\n        }), \".\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Its ascent reflects how independent AGI research labs have evolved into product-led companies.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Why are they doing this? Research leaders believe that embedding product with AI model training drives better model performance and cost structure. We\u2019ve seen this play out with Midjourney, CharacterAI, Inflection AI\u2019s Pi, and Meta\u2019s in-app celebrity \", /*#__PURE__*/e(i, {\n          href: \"https://arstechnica.com/information-technology/2023/09/meta-launches-consumer-ai-chatbots-with-celebrity-avatars-in-its-social-apps/#:~:text=In%20addition%20to%20the%20general,dungeon%20master%22%20with%20gaming%20advice\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"chatbots\"\n          })\n        }), \" and \", /*#__PURE__*/e(i, {\n          href: \"https://about.fb.com/news/2023/09/introducing-ai-powered-assistants-characters-and-creative-tools/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"image generator\"\n          })\n        }), \" along with OpenAI\u2019s DALLE and ChatGPT.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As billions of people use these products every day, countries at the world stage are beginning to organize around AI regulation. The following essay will expand on how countries are balancing how democratic values are upheld as well as safeguarding economic interests as generated content becomes more accessible, election interference becomes more likely, and productivity and its subsequent automation accelerates across industries.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"I suspect the UK and Canada will take strong regulatory stances within the year, establishing new rules on AI monitoring, evaluation, and accountability. For the UK, it\u2019s an opportunity to lead on the world stage, safeguarding their economic interests, and charting their own path unencumbered by the EU (\", /*#__PURE__*/e(i, {\n          href: \"https://www.theguardian.com/technology/2023/oct/10/downing-street-trying-to-agree-statement-about-ai-risks-with-world-leaders\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CDowning Street trying to agree statement about AI risks with world leaders\u201D\"\n          })\n        }), \", Guardian Oct 11, 2023). Sunak\u2019s government has an opportunity to set precedence by enforcing guardrails that protect our democratic values and fosters innovation without being shortsighted (i.e. limited to the models and capabilities we see today but instead imaginative as to what could be in the not so distant future).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Over the course of the coming weeks, I\u2019ll be sharing essays on what I\u2019ve learned this past year building two LLM-powered products. One thing is certain amid the rapid change and paradigm shifts: LLM-powered products will continue to evolve as we interpret new business, regulation, research, and user needs into product design.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Existential risk, regulation, and Big Tech\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Global AI regulation came to the forefront this past spring when the Center for AI Safety\u2019s \", /*#__PURE__*/e(i, {\n          href: \"https://www.safe.ai/statement-on-ai-risk\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CStatement on AI Risk\u201D\"\n          })\n        }), \" published the following sentence with over 100 leading executives, researchers, and academics: \", /*#__PURE__*/e(\"em\", {\n          children: \"\u201C\"\n        }), \"Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.\u201D \", /*#__PURE__*/e(i, {\n          href: \"https://www.safe.ai/statement-on-ai-risk\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"(\"\n          })\n        }), \"May 30 2023).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Their argument is that AGI has the potential to cause serious harm to countries and its citizens; therefore, its research and deployment needs to be heavily monitored and privately built to ensure evil actors have limited to no access.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Many have argued that this statement fails to address its signatories own role in the threat, i.e. those who signed it were largely from Big Tech with the resources - research talent, GPU allocation, advanced AGI models, and distribution - to cause harm.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"On his recent book tour, Mustafa Suleyman, DeepMind and Inflection AI co-founder, argued against \u201Cnaive open source\u201D AI, stating it accelerates the \u201Crisks of large-scale access\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://80000hours.org/podcast/episodes/mustafa-suleyman-getting-washington-and-silicon-valley-to-tame-ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CMustafa Suleyman on getting Washington and Silicon Valley to tame AI\u201D\"\n          })\n        }), \", 80,000 Hours Podcast, Sept 1 2023).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'Those from the Open Source community counter argue that Suleyman along with other tech CEOs are fear mongering to enforce a \"Pull up the Ladder\" strategy, whereby the interests of established companies are safeguarded at the expense of smaller players and the commons. By advocating for regulatory measures that restrict the work of others, well-funded companies aim to maintain their dominant position in the race to AGI and its commercialization.\\xa0'\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"In response to the \u201CStatement on AI Risk\u201D, \", /*#__PURE__*/e(i, {\n          href: \"https://venturebeat.com/ai/ai-experts-challenge-doomer-narrative-including-extinction-risk-claims/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"many from the research community\"\n          })\n        }), \" believe that the focus on AGI existential risk overshadows the importance of addressing the current, measurable AI risks such as bias, misinformation, discrimination, exploitation, and election interference.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Startup leaders believe that the \u201Cexistential risk\u201D argument distracts regulators as well as inadvertently creates an anti competitive environment between incumbents like OpenAI, Anthropic, and Google DeepMind versus university AI research labs, early stage startups, and the open source community.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The threat of disinformation and harm are more prominent now than ever as the G7 fights two proxy wars in Ukraine and Israel. One can imagine that an open source, open weights GPT4-level model will be available for free in the coming months, and could easily be fine-tuned by bad actors to convincingly spread misinformation online. These existential and present day risks make AGI safety and regulation a centerpiece in each country\u2019s foreign policy. How our leaders balance our safety, economic interests, and the industry\u2019s guardrails will continue to unfold in the coming months.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Open Science is the bedrock of AGI research\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As the debate between private and open research continues both in and outside politics, it\u2019s important to review the potential benefits of small players and open source contributions to ensure that AGI benefits everyone and is accessible to all. The following section will look at how Open Science is at the foundation of Generative AI and regulation will be required to both preserve as well as hinder accessibility.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Last month Mistral, an early stage startup co-founded by LLaMA author Guillaume Lample and Flamingo author Arthur Mensch, released a smaller, open source model that outperformed the current gold standard - LLaMA 2\u2019s larger models - on a wide range of benchmarks. Mistral researchers only used data found on the internet (e.g. the chat model was trained on free instruction datasets found on Hugging Face, \", /*#__PURE__*/e(i, {\n          href: \"https://mistral.ai/news/announcing-mistral-7b/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CMistral 7B\u201D\"\n          })\n        }), \" Mistral, Sept 27 2023).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Over the weekend, reports on Twitter highlighted how easy it was to manipulate the model towards unsafe outcomes as well as how this \u201Cuncensored model\u201D caused it to be far more 'helpful' than models like LLaMa2 with its inbuilt safety features.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Jack Clark, the Anthropic co-founder, writes \u201Cthis illustrates the challenging tradeoffs inherent to safety-as-censorship; by shaving down the sharp edges of models you can also make them less useful, which makes safety interventions seem more like a tax than a benefit\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://importai.substack.com/p/import-ai-442-mistral-dumps-an-llm\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CImport AI 442: Mistral dumps an LLM on BitTorrent; AMD vs NVIDIA; Sutton joins keen\u201D\"\n          })\n        }), \" Jack Clark on Oct 2, 2023).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Open source models like Mistral highlight the importance of data provenance. Up until recently, the internet was largely seen as a distribution network, where businesses and individuals alike go to publish and market their work. Today, that largely free publisher is being used as training data for large language models both at open and private research labs.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"To ring fence large language models - aka determine who has access and at what price - would be the antithesis of both how these models are created. One could argue that if we - as active online contributors - participate in the making of the model by publishing online, we should also receive the benefits.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As a result, open source models ensure an even playing field between private and public research labs and their product builders; however, their free access raises concerns on trust and safety. Open Science should be safeguarded as well as regulated as we begin to draw the contours of global AI regulation.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Free Speech, Copyright Law, and the Fair Use Doctrine\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As LLMs continue to commodify knowledge, its research and applications are sparking new legal interpretations of Constitutional Rights including Free Speech as well as Copyright Law and the Fair Use Doctrine.\\xa0\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Cass Sunstein, the author of Nudge Theory, writes in his recent paper \", /*#__PURE__*/e(i, {\n          href: \"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4431251\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DArtificial Intelligence and the First Amendment\u201D\"\n          })\n        }), \": \u201CAI itself is not human and cannot have constitutional rights just as a vacuum cleaner does not have constitutional rights. But it seems pretty clear that content created by Generative AI probably has free speech protections.\u201D (April 28 2023)\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Cass goes on to write: \u201Cspeech generated by AI might be unprotected, but AI might be in some sense autonomous; what it has learned, and what it is saying, might not be traceable to any deliberate decisions by any human being.\u201D Sunstein highlights that the content or speech created by LLMs, although not having constitutional rights inherently, may be deserving of free speech protections. This distinction is crucial in understanding the legal landscape surrounding AI-generated content. Cass notes the complex issue of liability for disseminating speech generated by AI.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Sunstein raises new questions about whether humans should be held responsible for AI-generated speech and, if so, under what circumstances. He suggests that the autonomy of AI, its learning processes, and the intentions of human actors involved in disseminating AI-generated content are factors that could influence the determination of liability. This reflects the evolving legal and ethical discourse around AI and the challenges in defining responsibility and culpability in a rapidly advancing technological landscape.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The legal and ethical considerations play a pivotal role in shaping how AI developers along with Model and Cloud providers operate within the bounds of copyright laws and free speech. The acquisition of data for training AI models raises concerns about intellectual property rights.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Many argue that AI developers must ensure compliance with relevant laws, including licensing and compensating individuals for their intellectual property used in training data (\", /*#__PURE__*/e(i, {\n          href: \"https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DGenerative AI Has an Intellectual Property Problem\u201D\"\n          })\n        }), \", HBR April 2023). In the future, it may involve sharing revenue generated by AI tools and appropriately licensing copyrighted materials.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"A critical aspect of AI's legal landscape involves the interpretation of \", /*#__PURE__*/e(i, {\n          href: \"https://hai.stanford.edu/news/reexamining-fair-use-age-ai\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"the fair use doctrine\"\n          })\n        }), \", permitting the use of copyrighted work without the owner's permission for transformative purposes such as criticism, comment, teaching, scholarship, or research.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"In a recent Stanford Law paper titled \", /*#__PURE__*/e(i, {\n          href: \"https://arxiv.org/abs/2303.15715\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CFoundation Models and Fair Use\u201D\"\n          })\n        }), \", the authors write:\", /*#__PURE__*/e(\"strong\", {\n          children: \" \"\n        }), \"\u201Cwhat happens when anyone can say to AI, \u2018Read me, word for word, the entirety of \", /*#__PURE__*/e(\"em\", {\n          children: \"Oh, the Places You\u2019ll Go!\"\n        }), \" by Dr. Seuss\u2019?\u201D Henderson asks rhetorically. \u201CSuddenly people are using their virtual assistants as audiobook narrators \u2014 \", /*#__PURE__*/e(\"em\", {\n          children: \"free\"\n        }), \" audiobook narrators\u201D.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"It\u2019s expected that there will be a wave of legal cases related to AI-generated content, and it\u2019s anticipated to hinge on the interpretation and application of this doctrine.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"In the meantime, model and cloud providers are now marketing that they will assume all legal risks if their customer is sued for generated content copyright infringement. Arguably a first for the industry, Microsoft and OpenAI have taken a proactive approach by offering legal protection to customers for their AI systems (\", /*#__PURE__*/e(i, {\n          href: \"https://arstechnica.com/information-technology/2023/09/microsoft-offers-legal-protection-for-ai-copyright-infringement-challenges/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CMicrosoft offers legal protection for AI copyright infringement challenges\u201D\"\n          })\n        }), \", Sept 8, 2023).\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In conclusion, the rise of AI and its impact on constitutional rights, copyright law, and the fair use doctrine has introduced new legal and ethical considerations. While AI itself does not possess constitutional rights, content created by generative AI may be deserving of free speech protections. The issue of liability for disseminating AI-generated speech raises complex questions regarding the autonomy of AI, the learning processes involved, and the intentions of human actors.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"I\u2019m personally super interested in how these open questions around Free Speech and Copyright Law get answered and interpreted by researchers, product leaders, executives, and governments alike; as undoubtedly, it will have impact on how we create, apply, and interact with LLMs in the future.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Shaping the contours of AGI regulation within the context of economic growth\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AGI research labs - and their subsequent products and services - have the potential to be large economic drivers for a country\u2019s GDP. Think of the outsized role the banking or tech industries have on global economies. As the knowledge industry becomes further commoditized, LLM-powered products, services, and companies could take a similar path of power and influence.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Where the EU, UK, Canada, and US regulation appear to be headed\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"In April 2023, we saw the G7 begin to grapple with the challenges of balancing innovation and the need for guardrails to prevent harm or discrimination. To promote trustworthiness in AI systems, the G7 AI Declaration emphasized the importance of tools such as regulatory frameworks, technical standards, and assurance techniques. Additionally, they wrote that AI related laws, regulations, policies, and standards \u201Cshould be human centric and based on democratic values, including the protection of human rights and fundamental freedoms and the protection of privacy and personal data\u201D (G7\", /*#__PURE__*/e(i, {\n          href: \"http://www.g7.utoronto.ca/ict/2023-declaration.html#:~:text=We%20recognise%20that%20digital%20innovation,digital%20skills%20across%20the%20economy.\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \" Digital and Tech Ministerial Declaration of April 2023\"\n          })\n        }), \").\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In the subsequent months, the European Union (EU), the United Kingdom (UK), Canada, and the United States (US) continued to identify how AI regulation might be enforced nationally - finding a common ground by emphasizing the importance of safety, transparency, non-discrimination, data privacy, and providing notice and explanation to users. This convergence of priorities suggests a shared commitment to ensuring responsible and ethical AI practices both nationally and internationally.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"The EU is notably focused on misinformation and the potential harm Russia could inflict on their elections. Their current framework offers a risk based approach and continues to safeguard open source community, stating in \", /*#__PURE__*/e(i, {\n          href: \"https://digital-strategy.ec.europa.eu/en/policies/digital-services-act-package\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CThe Digital Services Act\u201D\"\n          })\n        }), \" adopted in July 2022: \u201Cthe European Union has adopted a modern legal framework that ensures the safety of users online, establishes governance with the protection of fundamental rights at its forefront, and maintains a fair and open online platform environment.\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://artificialintelligenceact.eu/the-act/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DThe AI Act\u201D\"\n          })\n        }), \" proposed in April 2021 (\", /*#__PURE__*/e(i, {\n          href: \"https://www.notion.so/Data-Analysis-Kindo-3de129fb67664f7d8eb23f2c6089e813?pvs=21\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"presentation\"\n          })\n        }), \"), \", /*#__PURE__*/e(i, {\n          href: \"https://venturebeat.com/ai/hugging-face-github-and-more-unite-to-defend-open-source-in-eu-ai-legislation/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DHugging Face, Github, and more unite to defend open source in EU Regulation\"\n          })\n        }), \"\u201D July 26 2023).\\xa0\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"The UK with PM Rishi Sunak\u2019s leadership and upcoming \", /*#__PURE__*/e(i, {\n          href: \"https://www.gov.uk/government/publications/ai-safety-summit-introduction\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"AI Safety Summit\"\n          })\n        }), \" continues to thread a fine line between bolstering economic development and mitigating \u201Cexistential risk\u201D. In March 2023, his government set forth \", /*#__PURE__*/e(i, {\n          href: \"https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper#executive-summary\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CA pro-innovation approach to AI regulation\u201D\"\n          })\n        }), \" white paper stating: \u201Cresponding to risk and building public trust are important drivers for regulation\u201D. For context, the UK is an epicenter of AI research talent - second only to the Bay Area. London is home to Google DeepMind along with leading AI research labs like OpenAI, Anthropic, Cohere, Tesla, Mistral, and Wayve as well as universities like University College London, University of Edinburgh, Cambridge, and Oxford.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"During this year\u2019s UN General Assembly, Oliver Dowden, the UK deputy Prime Minister, made existential risk a centerpiece of his foreign policy, stating: \u201CThe AI revolution will be a bracing test for the multilateral system. Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://www.ft.com/content/9d98da0a-14e2-4bbb-a076-91ef131fe2b2\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DAI poses \u2018bracing test\u2019 to multilateral system, says UK deputy prime minister\u201D\"\n          })\n        }), \" Sept 24 2023). Within a few days of Dowden\u2019s speech, venture capitalist Nathan Benaich spoke at the House of Lords: \u201Dpremature regulation on the basis of safety fears is bad for competition - that\u2019s why big companies are happy to advocate for policies like licensing regimes, as they know they\u2019ll hamper open source model providers\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://www.airstreet.com/blog/lords-uk-llm-opportunity\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CThe UK LLM opportunity: Air Street at the House of Lords, Sept 28 2023\u201D\"\n          })\n        }), \"). How the UK government will foster homegrown talent, attract international investment, and enforce regulatory guardrails remains to be seen.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: ['In September 2023, Canada introduced a \"', /*#__PURE__*/e(i, {\n          href: \"https://ised-isde.canada.ca/site/ised/en/voluntary-code-conduct-responsible-development-and-management-advanced-generative-ai-systems\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: 'Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems,\"'\n          })\n        }), \" which includes measures such as human oversight and monitoring for addressing emerging risks. The Voluntary Code of Conduct states that \u201Cwhile they have many benefits, advanced generative AI systems also carry a distinctly broad risk profile, due to the broad scope of data on which they are trained, their wide range of potential uses, and the scale of their deployment\u2026 the capability to generate realistic images and video, or to impersonate the voices of real people, can enable deception at a scale that can damage important institutions, including democratic and criminal justice systems.\u201D The Conduct has been signed by Cohere and Blackberry, whilst other companies have expressed concerns that policy could stifle innovation and the ability to compete with companies based outside Canada (\", /*#__PURE__*/e(i, {\n          href: \"https://www.msn.com/en-ca/news/canada/canadas-voluntary-ai-code-of-conduct-is-coming-not-everyone-is-enthused/ar-AA1hvWU5\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CCanada\u2019s voluntary AI code of conduct is coming - not everyone is enthused\u201D\"\n          })\n        }), \", CBC Oct 2 2023).\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"The US efforts led by President Biden and Congress are largely focused on transparency, accountability, and the right to know when one is interacting with an AI model. The White House, influenced by \u201C\", /*#__PURE__*/e(i, {\n          href: \"https://www.ajl.org/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"algorithmic justice\"\n          })\n        }), \"\u201D, set forward a \", /*#__PURE__*/e(i, {\n          href: \"https://www.whitehouse.gov/ostp/ai-bill-of-rights/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201DBlueprint for an AI Bill of Rights\u201D\"\n          })\n        }), \" in October 2022 focused on how technology, data, and automated systems should respect and uphold the rights of the American public. A year later, the \", /*#__PURE__*/e(i, {\n          href: \"https://dd80b675424c132b90b3-e48385e382d2e5d17821a5e1d8e4c86b.ssl.cf1.rackcdn.com/external/09072023bipartisanaiframework.pdf\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CBipartisan Framework for US AI Act\u201D\"\n          })\n        }), \" takes this policy a step further spelling out legal accountability for harms: \u201CCongress should ensure that AI companies can be held liable through oversight body enforcement and private rights of action when their models and systems breach privacy, violate civil rights, or otherwise cause cognizable harms\u201D. President Biden will most likely not move forward with AI regulation until after the US 2024 General Election.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In conclusion, the past year has seen increased momentum globally towards developing thoughtful and measured regulation of AI systems. While approaches vary, common themes have emerged across major regions focused on ensuring safety, explainability, transparency, accountability, and avoidance of unfair bias. Regulation will likely remain an ongoing discussion as governments balance innovation and economic competitiveness with managing potential risks. The degree to which international alignment can be achieved will impact how effectively the AI ecosystem evolves. Continued public-private partnership and multistakeholder collaboration will be important to develop regulation that enables, rather than stifles, continued progress towards responsible AI development.\"\n      }), /*#__PURE__*/e(\"img\", {\n        alt: \"\",\n        className: \"framer-image\",\n        \"data-framer-asset\": \"data:framer/asset-reference,HJmAaI7e7r4mpBu8Hb3QsjWAevY.webp\",\n        \"data-framer-height\": \"1144\",\n        \"data-framer-width\": \"936\",\n        height: \"572\",\n        src: \"https://framerusercontent.com/images/HJmAaI7e7r4mpBu8Hb3QsjWAevY.webp\",\n        style: {\n          aspectRatio: \"936 / 1144\"\n        },\n        width: \"468\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"AGI art by \", /*#__PURE__*/e(i, {\n          href: \"https://www.instagram.com/feelthefomo/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Valeria Palmeiro\"\n          })\n        })]\n      })]\n    })\n  }, {\n    id: \"TSYkWUHa7\",\n    [c]: !1,\n    [h]: \"What just happened? Where we\u2019ve been and headed with AI\",\n    [d]: \"where-weve-been-and-where-were-headed-with-ai\",\n    [p]: \"2023-09-19T00:00:00.000Z\",\n    [m]: \"8  min\",\n    [g]: \"Margaret Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/obDxHLEIqBAWbIEJtt3laZmVF0.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/APyEa6gXGOXt52fau9k5Uw9P1Ts.jpg 5184w\"\n    }, \"\"),\n    [y]: \"From Prediction to Creation: Exploring the Shift to Generative AI and its Impact on Society\",\n    [b]: \"Discover the evolution of AI from predictive models to generative creativity. Explore the journey from traditional AI's prediction era to the emerging generative era, shaping industries, businesses, and society. Learn how AGI and Superintelligence are reshaping the landscape, and how corporations and open source communities are racing to harness the power of Generative AI. Explore the tools, models, and future possibilities as AI transforms into a collaborative partner in innovation and creativity.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Explore the shift from a prediction era to AGI and what that means for the future of AI.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"I\u2019ve spent my last few months in LA, talking to a mix of VCs, founders, screenwriters and directors about the current moment in AI, and what makes it different from the past. The following is influenced both by those conversations, and the \u201CThe Emerging Capabilities of Generative AI\u201D discussion I took part in with James Cham from Bloomberg Beta at Fika Ventures last month.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The truth is, whether you\u2019re aware of it or not, you\u2019ve probably been using AI for years. In my case, I first heard about AI while working for Stanford Management Company. It was 2014, and the whole campus seemed to be talking about this exciting new thing called Computer Vision.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"At the time, the conversation focused on two names: Andrew Ng and Fei Fei Li. Groundbreaking research scientists showing us how large datasets could help models predict images and objects. What fascinated us back then, was realizing how the relatively new computing platforms of Mobile and Cloud were underpinning the emergence of Big Data and with it, the ability to train AI algorithms on large visual datasets.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Four years after Stanford, I joined Google where I learned about Peter Norvig\u2019s \\xa0\", /*#__PURE__*/e(i, {\n          href: \"https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/35179.pdf\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"\u201CThe Unreasonable Effectiveness of Data.\u201D\"\n          })\n        }), \" His work proved that rudimentary algorithms could achieve the same results as more sophisticated algorithms if they trained on more data. It became clear to me then, that data \\xa0- whether it\u2019s images, tweets, medical scans, click-through rates, or legal documents - is pivotal to training models. It is data that models used to create the exact type of AI which has defined our last twenty years as a society: prediction.\"]\n      }), /*#__PURE__*/t(\"h2\", {\n        children: [\"BIG DATA, SEARCH ENGINES, AND PREDICTION MACHINES: \", /*#__PURE__*/e(\"em\", {\n          children: \"How we\u2019ve been living with traditional AI\"\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Whether as consumers or as employees, we\u2019ve all used prediction machines. From 2013 to 2021, we saw the emergence of \u201CBusiness Intelligence\u201D or \u201CData Analytics.\u201D If used correctly, AI can allow professionals to manipulate data, whether it\u2019s about their product, service, or company, to produce their own predictions.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"On the consumer side, Netflix, Amazon and YouTube showed us how AI could function to predict what a viewer wanted to watch next, changing consumer habits forever. I call these products, search engines applied to verticals. What we saw over the last decade was that AI didn\u2019t exactly bring intelligence to the market, but achieved what Ajay Agrawal, Joshua Gans, and Avi Goldfarb summarized in 2018 as a \u201Ccritical component of intelligence: prediction\u201D (\", /*#__PURE__*/e(i, {\n          href: \"https://www.predictionmachines.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Prediction Machines: The Simple Economics of Artificial Intelligence\"\n          })\n        }), \".)\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While these prediction machines achieved new academic and industry milestones, Alphabet acquired DeepMind in 2014. Suddenly, the conversation changed to Super Intelligence, AGI, and how models could become far smarter than the human brain. With AGI, we could use artificial intelligence to generate something that never existed before.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This was eight years ago, and at the time, it felt like this future reality was far, far, away. It wasn\u2019t. Today, it seems we\u2019ve already solved AGI, and are now just playing in the margins.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"WELCOME TO THE GENERATIVE ERA\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"We\u2019re currently moving from a prediction era, to a generative era. \\xa0While in 2014, the exercise was to clean, annotate, and train data, before deciding if it\u2019s a cat or dog, we\u2019re now collaborating with \", /*#__PURE__*/e(i, {\n          href: \"https://arxiv.org/abs/1706.03762\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Transformer\"\n          })\n        }), \" models and creating a dog in the style of Matisse in the South of France.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"As Sonya Huang and Pat Grady wrote in \", /*#__PURE__*/e(i, {\n          href: \"https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Sequoia\u2019s 2022 report 'A Creative New World'\"\n          })\n        }), \" with the help of Chat GPT-3, up until recently, machines \u201Cwere relegated to analysis and rote cognitive labor. But machines are just starting to get good at creating sensical and beautiful things. This new category is called \u201CGenerative AI,\u201D meaning the machine is generating something new rather than analyzing something that already exists.\u201D\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The key difference is that traditional AI is about prediction, while AGI is about accessing a set of skills that normally require decades of experience and mastery. AGI is the pursuit of one multi-modal model that understands image, voice, video, text, and action in any language, form, or format. At its best, AGI is a superior collaborator, asking the user to steer and refine the final output.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While Traditional AI enabled the Information Age, AGI is about reducing the barriers of entry for highly skilled labor - whether it\u2019s in the form of illustration, literature, medicine, law, science, or programming.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"What comes next after AI, and AGI, is Superintelligence. The challenge is that even the people leading this effort towards AGI, are not in consensus as to what AGI means. As a society, we need to consider AGI as technology that can achieve things that are otherwise impossible, rather than a replacement for a human with a job. The future of our society depends on this distinction.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"WE\u2019RE IN A CORPORATE ARMS RACE\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"With the rise in AGI, a corporate arms race is currently underway to solve Superintelligence first. Research labs and corporate entities are competing over access to data, to compute, and to talent. We\u2019re watching Google and Microsoft pit DeepMind versus OpenAI to create their own Superintelligence by training AGI models on the world\u2019s data, employing millions of annotators to provide feedback on the models\u2019 mistakes. In the process, they're spending billions on hardware, datasets, and talent to achieve a singular model that reflects a collective intelligence.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"At the same time, we\u2019re also witnessing the latest private AGI models and their capabilities become inexpensive or free in the open source community. Last week, \", /*#__PURE__*/e(i, {\n          href: \"https://www.semianalysis.com/p/google-we-have-no-moat-and-neither\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"a leaked Google Memo \"\n          })\n        }), \"revealed what most of us already knew, which is that the open source community is on track to outcompete both Google and OpenAI. Just last month, Stanford researchers released their own version of ChatGPT, built \", /*#__PURE__*/e(i, {\n          href: \"https://stanforddaily.com/2023/04/02/how-stanford-researchers-attempted-to-make-a-new-chatgpt-with-less-than-600/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"with less than $600.\"\n          })\n        }), \" The LlaMA model was retrained by the researchers cheaply fine-tuning it on inputs and outputs from one of OpenAI\u2019s first models text-davinci-003.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This means that the most advanced models in the world can now be open sourced for a fraction of the price.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"HOW THIS EARTHQUAKE IS FELT BY ALL\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Everyone can now build new products, services, and companies that harness AGI as an expert skill set. The first wave of tooling is beginning to bridge the gap between an information-rich world and a knowledge-first environment.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"And we\u2019re already seeing products blend multimodal workflows for specialists. Runway helps video editors edit their videos through natural language. Typeface helps marketing execs create ads through prompts. These tools do a few tasks really well, but remain siloed. Most users are still relying on antiquated systems to complete their day\u2019s work, and using new products powered by RLHF for a few specific tasks. As AGI research advances, so will our opportunity to rethink how we work, and the tools we need to streamline our processes.\"\n      }), /*#__PURE__*/t(\"h2\", {\n        children: [\"WHERE THINGS ARE GOING: \", /*#__PURE__*/e(\"em\", {\n          children: \"What could the future look like?\"\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Research models are increasingly becoming good at completing tasks on a user\u2019s behalf. Models like Adept\u2019s ACT-1 show us how AGI \", /*#__PURE__*/e(i, {\n          href: \"https://www.adept.ai/blog/act-1\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"can understand a user request and execute it\"\n          })\n        }), \", \", /*#__PURE__*/e(i, {\n          href: \"https://openai.com/blog/chatgpt-plugins\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"ChatGPT Plugins\"\n          })\n        }), \" illustrate how an LLM can reason and act on the user\u2019s behalf on the internet.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Academia is beginning to see signs of life on whether a model can fully simulate human behavior (\", /*#__PURE__*/e(i, {\n          href: \"https://arxiv.org/abs/2304.03442\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Stanford\u2019s Generative Agents: Interactive Simulacra of Human Behavior\"\n          })\n        }), \" paper, April 2023).\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Developer Tools like \", /*#__PURE__*/e(i, {\n          href: \"https://python.langchain.com/en/latest/index.html\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"LangChain\"\n          })\n        }), \", meanwhile, enables LLM agents to be both data-aware and semi-autonomous, and \", /*#__PURE__*/e(i, {\n          href: \"https://huggingface.co/llamaindex\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"LlamaIndex\"\n          })\n        }), \" enables LLM agents to more proactively manage their data infrastructure.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"All three signs - whether with research models, academic papers, or developer tools - indicate that soon models will be acting on our behalf, simulating human behavior to plan, reason, and execute tasks, whilst developer tools make it far easier to deploy these models at scale.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In my next letter, I\u2019ll talk about how to develop products that rely on generative AI as a collaborative partner. We need to see this technology as altering not only the speed at which we work, but the teams we hire, the businesses we develop, and the ideas we now have the time to explore.\"\n      })]\n    })\n  }, {\n    id: \"iPpj8qM7Y\",\n    [c]: !1,\n    [h]: \"What Do Knowledge Workers Actually Want From AI?\",\n    [d]: \"what-do-knowledge-workers-actually-want-from-ai\",\n    [p]: \"2023-09-18T00:00:00.000Z\",\n    [m]: \"6  min\",\n    [g]: \"Margaret Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/obDxHLEIqBAWbIEJtt3laZmVF0.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/fmKt3GfL75gDoD5j2qT7uaXuFPI.jpg\",\n      srcSet: \"https://framerusercontent.com/images/fmKt3GfL75gDoD5j2qT7uaXuFPI.jpg?scale-down-to=512 448w, https://framerusercontent.com/images/fmKt3GfL75gDoD5j2qT7uaXuFPI.jpg 631w\"\n    }, \"\"),\n    [y]: \"Building User-Focused AI Tools for Knowledge Workers: Trust and Collaboration\",\n    [b]: \"Dive into the world of AI tools tailored for knowledge workers, based on insights from interviews with 20 managers in non-technical industries. Explore the challenges of building AI tools that earn user trust, including transparency, control, predictability, and security. Discover how AI collaboration can empower knowledge workers and artists alike, while maintaining human direction and dignity in intellectual processes. Learn from real-world examples and the potential of AI to enhance collaboration, adoption, and success in various professional endeavors.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"It might be simple - but I\u2019m interested in building AI tools that people actually want to use. I\u2019ve spent the last three months listening to today\u2019s workforce in attempt to try and understand their relationship to AI.\\xa0\"\n      }), /*#__PURE__*/e(\"img\", {\n        alt: \"\",\n        className: \"framer-image\",\n        \"data-framer-asset\": \"data:framer/asset-reference,7sUAthTCOPdB55hwbw2ZHiOKqmA.png\",\n        \"data-framer-height\": \"1270\",\n        \"data-framer-width\": \"1112\",\n        height: \"635\",\n        src: \"https://framerusercontent.com/images/7sUAthTCOPdB55hwbw2ZHiOKqmA.png\",\n        style: {\n          aspectRatio: \"1112 / 1270\"\n        },\n        width: \"556\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"em\", {\n          children: \"Source: Nicola Bergamaschi for Vogue Poland (\"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://www.instagram.com/nicola_bergamaschi/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"instagram\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \", \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://files.cargocollective.com/c1845008/FULL_COVER-STORY.pdf\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"website\"\n            })\n          })\n        }), /*#__PURE__*/e(\"em\", {\n          children: \")\"\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"We interviewed 20 managers - of customers, processes, and teams - across the United States. They work in non-technical industries including government, consulting, and insurance. They are \u201Cknowledge workers\u201D or those whose job is predominately processing information, typically sitting at a desk. According to a recent Gartner report, \", /*#__PURE__*/e(i, {\n          href: \"https://www.gartner.com/en/newsroom/press-releases/2023-03-01-gartner-forecasts-39-percent-of-global-knowledge-workers-will-work-hybrid-by-the-end-of-2023#:~:text=The%20U.S.%20number%20of%20fully,the%20U.S.%20workforce%20in%202023.\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"knowledge workers are 71% of the US workforce in 2023\"\n          })\n        }), \", and according to a recent McKinsey report, Generative AI has the potential to increase their\", /*#__PURE__*/e(i, {\n          href: \"https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#business-value\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \" productivity by ~35-70% unlocking $6.1-7.9B\"\n          })\n        }), \" in economic value.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Thanks for reading Margaret\u2019s Substack! Subscribe for free to receive new posts and support my work.Subscribe\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"strong\", {\n          children: \"So what\u2019d we learn by talking to the largest workforce in the world\u2019s largest economy?\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"No matter the industry, today\u2019s knowledge workers are looking for fulfillment. They want to complete their tasks on time, and to a high degree. They want to receive recognition from their colleagues, and get rewarded with higher salaries, and bigger opportunities. If we can build AI tools that help knowledge workers find new ways to do this, they\u2019ll come onboard.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The issue is, knowledge workers don\u2019t trust AI.\\xa0\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"strong\", {\n          children: \"Here\u2019s why:\"\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        style: {\n          \"--framer-font-size\": \"19px\",\n          \"--framer-text-alignment\": \"start\",\n          \"--framer-text-color\": \"rgb(64, 64, 64)\",\n          \"--framer-text-transform\": \"none\"\n        },\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"It\u2019s all been too fast, and too soon. \"\n            }), \"Workers are overwhelmed by ChatGPT\u2019s rampant rise and the narrative that their job can, and will, be replaced by this new technology. This looming fear of \u201CHuman v. Machine\u201D lessens their enthusiasm when it comes to adopting an AI tool (and for good reason, for example OpenAI\u2019s recent paper on automation argues that white collar jobs will be automated before blue collar jobs in \", /*#__PURE__*/e(i, {\n              href: \"https://openai.com/research/gpts-are-gpts\",\n              openInNewTab: !1,\n              smoothScroll: !1,\n              children: /*#__PURE__*/e(\"a\", {\n                children: \"\u201CGPTs are GPTs: An early look at the labor market impact potential of large language models\u201D\"\n              })\n            }), \").\"]\n          })\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"2\",\n        style: {\n          \"--framer-font-size\": \"19px\",\n          \"--framer-text-alignment\": \"start\",\n          \"--framer-text-color\": \"rgb(64, 64, 64)\",\n          \"--framer-text-transform\": \"none\"\n        },\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"They don\u2019t know who is responsible for the output.\"\n            }), \" Employees want to know who on their team did what. Using ChatGPT discreetly can appear like \u201Ccheating\u201D in the workplace: workers worry that AI gives their colleagues skills that they haven\u2019t earned and opportunities they haven\u2019t worked for.\"]\n          })\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"3\",\n        style: {\n          \"--framer-font-size\": \"19px\",\n          \"--framer-text-alignment\": \"start\",\n          \"--framer-text-color\": \"rgb(64, 64, 64)\",\n          \"--framer-text-transform\": \"none\"\n        },\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"We aren\u2019t actually used to objectivity. \"\n            }), \"Knowledge workers are interested in the idea of an AI executive coach that can review all your meetings, emails, and material output to provide feedback as an objective third party. Those who are actually responsible for providing feedback to team members - aka people managers - find this feature to be disconcerting. People are still people. Managers don\u2019t want to delegate feedback to an AI for fear of misdirection. Instead, they want to keep the humanity in management, whereby an individuals\u2019 growth and a manager\u2019s understanding can reflect information that may not be available to AI.\"]\n          })\n        })\n      }), /*#__PURE__*/e(\"ol\", {\n        start: \"4\",\n        style: {\n          \"--framer-font-size\": \"19px\",\n          \"--framer-text-alignment\": \"start\",\n          \"--framer-text-color\": \"rgb(64, 64, 64)\",\n          \"--framer-text-transform\": \"none\"\n        },\n        children: /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"There\u2019s still a big question mark around data security and privacy. \"\n            }), \"Back in May, Apple, Spotify, Verizon, Goldman Sachs, Citigroup, and various other global enterprises banned or restricted their employees\u2019 use of ChatGPT, citing privacy reasons. Today\u2019s workforce is concerned about keeping their workplace data secure. They\u2019re also worried about how their interaction data may be used, and if it could be utilized to train AI specifically to take away their job.\"]\n          })\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"If we believe that AI will be the great equalizer of opportunities and skills with downstream effects of productivity gains, we need to build tools that knowledge workers trust. \"\n        }), \"As a result, there is an emerging new feature set focused on user trust that is required for every AI product:\"]\n      }), /*#__PURE__*/t(\"ol\", {\n        style: {\n          \"--framer-font-size\": \"19px\",\n          \"--framer-text-alignment\": \"start\",\n          \"--framer-text-color\": \"rgb(64, 64, 64)\",\n          \"--framer-text-transform\": \"none\"\n        },\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Control. \"\n            }), \"People are not ready for magic. The focus instead should be: how do we enable the end user to steer AI to complete tasks that they don\u2019t view as essential? Think of all the unseen work in your day - the repetitive, rote tasks - that no one will mention during a performance review.\\xa0It\u2019s important that we maintain a fine-line between the AI, and the user. The worker-in-the-loop should have full control over the tool\u2019s processing and ultimately be accountable for the tool\u2019s output to circumvent potential hallucinations or missteps.\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Transparency. \"\n            }), \"Workers want to know how an AI tool works, but they don\u2019t need to become a prompt engineer or research scientist to understand every detail. They instead want to understand the basics at a high level - who owns the model? What data is the model using? Which model is best suited for which task? - so that they can avoid an ignorance-fueled anxiety.\\xa0It\u2019s important that they can see how the model \u201Cdoes its\u2019 work\u201D and provide explanations and interpretability where needed (for example, \", /*#__PURE__*/e(i, {\n              href: \"https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/\",\n              openInNewTab: !1,\n              smoothScroll: !1,\n              children: /*#__PURE__*/e(\"a\", {\n                children: \"Bing builds trust and avoids potential missteps by responding with an answer and references\"\n              })\n            }), \").\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Predictability. \"\n            }), \"If an AI tool is going to be adopted by our workforce, the expectation should be that models are not 100% accurate, 100% of the time.\", /*#__PURE__*/e(\"br\", {}), \"Unlike other SaaS applications or software that are focused on accuracy and precision, AI tools that are powered by LLMs and interact in natural language are useful collaborators for workers.\\xa0Look at Midjourney, DALL-E, and TikTok - they broke the internet\u2019s fourth wall whereby users are online to create - not just to distribute or organise information. We should establish AI tools as collaborators that unlock new superpowers and enable one to create things that were otherwise impossible, with the understanding that the tool - like any collaborator - can also be inaccurate or inconsistent.\\xa0\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Security. \"\n            }), \"Workers want to know where their data goes and who has access to the data when they use a LLM. They don\u2019t want to get fired for using the wrong AI model and putting their company data at risk. It\u2019s important for workers to see the AI tool as safe and secure as well as approved by upper management.\\xa0\"]\n          })\n        })]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"Control, Transparency, Predictability, and Security are the cornerstones for user adoption. \"\n        }), \"Establishing user trust by defining the appropriate levers for user input to steer AI continues to be researched in the Human-Centered AI and Human-AI Collaboration academic fields.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"As product builders, a great example to illustrate fully vs semi-autonomous AI within a process is by looking at how AI is being adopted in visual mediums. \"\n        }), \"The following are two examples with divergent ideas of Human-AI collaboration.\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"The first example is a beer commercial made by an AI model.\"\n        }), \" The prompt was to create a beer commercial.\"]\n      }), /*#__PURE__*/e(o.div, {\n        className: \"framer-text-module\",\n        style: {\n          \"--aspect-ratio\": \"560 / 315\",\n          aspectRatio: \"var(--aspect-ratio)\",\n          height: \"auto\",\n          width: \"100%\"\n        },\n        children: /*#__PURE__*/e(n, {\n          componentIdentifier: \"module:NEd4VmDdsxM3StIUbddO/bZxrMUxBPAhoXlARkK9C/YouTube.js:Youtube\",\n          children: t => /*#__PURE__*/e(l, {\n            ...t,\n            play: \"Off\",\n            shouldMute: !0,\n            thumbnail: \"High Quality\",\n            url: \"https://www.youtube.com/watch?v=Geja6NCjgWY\"\n          })\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This is the content that skeptics use to discredit AI. While from afar it might appear like a beer commercial, it\u2019s a mess of disjointed visuals, all loosely related to the idea of beer. You can tell there was a lack of human input, as there\u2019s a lack of narrative perspective or lasting message.\\xa0\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"The second example is After Light, directed by Julien Vallee and Eve Duhamel. \"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://valleeduhamel.com/portfolio/afterlight/\",\n          openInNewTab: !0,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"The video\"\n          })\n        }), \" combines live action footage with Runway\u2019s Gen-1, NeRFs, Generative AI and traditional post-processing.\"]\n      }), /*#__PURE__*/e(i, {\n        href: \"https://valleeduhamel.com/portfolio/afterlight/\",\n        openInNewTab: !0,\n        smoothScroll: !1,\n        children: /*#__PURE__*/e(\"a\", {\n          className: \"framer-image\",\n          \"data-preset-tag\": \"img\",\n          children: /*#__PURE__*/e(\"img\", {\n            alt: \"\",\n            className: \"framer-image\",\n            \"data-framer-asset\": \"data:framer/asset-reference,aUGw7w2KMGWd3qg3luy3eO8D8.png\",\n            \"data-framer-height\": \"1402\",\n            \"data-framer-width\": \"2544\",\n            height: \"701\",\n            src: \"https://framerusercontent.com/images/aUGw7w2KMGWd3qg3luy3eO8D8.png\",\n            style: {\n              aspectRatio: \"2544 / 1402\"\n            },\n            width: \"1272\"\n          })\n        })\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Source: \", /*#__PURE__*/e(i, {\n          href: \"https://valleeduhamel.com/portfolio/afterlight/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"valleduhamel website\"\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This film shows how AI can be incorporated into our existing workflows to generate a new media form. The film isn\u2019t exactly a music video, or an animation short. It allows choreography to leap through far-off spaces, climates and figures. It is impossible to predict what comes next, bringing viewers into a new cinematic experience.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"We can learn a lot about building AI products by analyzing After Light. If we\u2019re going to build AI tools that last, we need to give our users both training wheels, and time. After Light does this. The video has moments that feel familiar, whether it\u2019s the dancer\u2019s choreography or the speeding cars, we know a human is directing the experience. We can appreciate the new worlds that AI is bringing us into, but we still feel like there\u2019s a human in control.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(\"strong\", {\n          children: \"Knowledge workers expect the same as artists. The goal should not be to replace their job with AI, but instead, to respect that a job of dignity requires a human to direct and manage its intellectual process. \"\n        }), \"Knowledge workers have the most to gain by collaborating with LLMs, and the most to lose if implemented carelessly. My belief is that AI tools can raise the knowledge floor - emboldening a workforce\u2019s dignity and ingenuity at work. After speaking with managers across the United States this summer, I believe it\u2019s entirely possible to deliver AI with empathy towards greater collaboration, adoption, and success.\"]\n      })]\n    })\n  }, {\n    id: \"wUeDSfSu1\",\n    [c]: !1,\n    [h]: \"Can AI Write my Emails?\",\n    [d]: \"should-i-use-ai-to-write-my-emails\",\n    [p]: \"2023-09-17T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/TLDeiHDfhe0XxSawM0QMfJjl3M.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/fEFFYjBbV0AD8sA6cLklaD7VkB8.jpg 5472w\"\n    }, \"\"),\n    [y]: \"Unlocking the Power of AI in Email Marketing: Can AI Write Your Emails?\",\n    [b]: \"Explore how Artificial Intelligence (AI) is revolutionizing email marketing by generating personalized and engaging email content. Understand the role of AI in crafting effective email copy, from subject lines to personalized messages. Discover the advantages of AI in email marketing, including time-saving automation, enhanced personalization, and improved engagement. Learn about the capabilities and limitations of AI-generated email content and how businesses can harness its potential to transform their email marketing strategies.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"In today's increasingly complex and dynamic business landscape, effective email copy remains a pivotal factor contributing to any professional endeavor's success. We all still use efficient email content to reach our clients and customers. Whether you're sending newsletter emails, scheduling lunch with a colleague, or introducing new ideas to new customers, we want our email copy to grab our audience's attention, leading us to question: Can AI write my emails?\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Understanding AI and Its Role\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Before delving into the answer, it's vital to comprehend what artificial intelligence, or AI, means in this context and its role in helping us create content and generate emails. Artificial intelligence embodies systems that are capable of executing tasks typically demanding human intelligence\u2014activities such as learning, reasoning, and problem-solving, to name a few. Think of the AI tool like a writing assistant.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Harnessing this power, AI can create personalized emails and write your subject line, thereby instigating a fundamental transformation in email marketing strategies. It makes these cold email strategies more custom-tailored, targeted, and, ultimately, more effective.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"AI in Email Marketing: The Numerous Advantages\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Once we explore the implementation of AI in email marketing, numerous advantages come to the forefront. Firstly, AI serves as a strategic tool engineered to save time during the sales process\u2014an invaluable commodity in any business landscape. By automating routine tasks such as email drafting, AI free sup time for professionals, allowing them to focus more on their business's strategic aspects.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Consider the salespeople and recruiters who regularly engage in creating content for cold outreach and campaign emails. Crafting compelling emails, especially to create those personalized for specific recipients, traditionally is a time-consuming process. However, the advent of AI has revolutionized this aspect. AI can efficiently generate hundreds of personalized emails in the time a human writer would need to compose a single one. This gives the writer more free time, as they only need to revise what the AI produces.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Another critical aspect of AI lies in its remarkable capacity to scan, process, and seamlessly incorporate vast data sets, whether that's click through rates or the times your team is free for lunch. This feature enhances the relevance and personal touch of your emails. By allowing AI to create personalized emails, it's possible to significantly bolster your email marketing strategy's effectiveness, leading to higher open and reply rates.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In the contemporary customer-centric market, personalization in email marketing has undergone a transformation. It's no longer considered a luxury but an essential requirement. Modern customers expect businesses to understand and cater to their needs, preferences, and interests. They are more likely to engage with emails that feel personal and resonate with their individual circumstances. Emails can't simply describe what the sender needs from the recipient, but must work to form a connection.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Moreover, these AI emailing tools are designed with a unique capability\u2014the tools stimulate content ideas that can significantly boost engagement. By employing advanced algorithms to analyze patterns and trends in successful emails, AI and writing tools can provide timely and astutely relevant suggestions. These suggestions can enhance your email's tone, language, and persuasiveness.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Engagement is a critical determinant of a successful email marketing strategy. It's not sufficient for your emails to be merely opened; they must echo with the audience and stimulate them to take the desired action. AI makes this aspect of email marketing significantly more achievable by providing insights and tools to optimize engagement.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Generate Email Content for your Team\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"One area where AI can be a tremendous asset is in sending a message to your colleagues summarizing Zoom meetings, planning future meetings, enumerating to-do lists, or helping you respond to questions. An AI tool can listen in on Zoom meetings, transcribe the conversations, and summarize the key points discussed. This automatic generation of meeting minutes saves time and ensures accuracy in email output, as no details are lost or overlooked due to human error. You can get perfect email copy by when you simply enter a few key details into your prompts.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"When it comes to planning meetings, AI can integrate with your calendar to identify available slots, create meeting agendas based on previous email communication, and suggest optimal times for meetings based on all participants' schedules. This streamlines the process and ensures that everyone is on the same page. You can read your emails quickly, clear out your inbox, and send your messages to your customer, company, colleague or other recipient. These writing tools will give you more free time, so you can educate yourself on your business by reading more articles, getting some rest, or finding other ways to be of service to your team.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Similarly, for creating to-do lists, AI can process project emails and identify tasks that need to be completed. It can generate a consolidated, prioritized list and send it to all involved team members, making sure everyone is aware of their responsibilities. Thus, AI enhances productivity, fosters collaborative work culture, and helps manage tasks more effectively.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Flipside: Limitations of AI\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"However, akin to any other new technology however, our current AI tools do have their share of limitations. While they excel at creating personalized cold emails rapidly and efficiently, they might struggle to emulate the creativity and personal touch that a human email writer brings.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Moreover, AI could encounter challenges in areas that use specific jargon or language conventions. Despite the sophisticated programming, there could be situations where AI may fail to understand other aspects of the message and effectively use industry-specific terminology, leading to potentially awkward or confusing emails. Humans know whether it makes sense to write to a certain colleague using bullet points or highly targeted language, better than AI does.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Finally, given an AI email generator's need to access large data sets to deliver its functionality, some users may have privacy concerns. Data privacy is an increasingly critical consideration, and it's essential to understand and address these issues while using AI tools.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Moving Ahead: Harnessing the Potential of AI\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Despite these potential pitfalls, the advantages of AI email generators in email marketing are so compelling that they cannot be dismissed. These tools offer the power of saving valuable time, the creation of personalized emails, and the generation of high-quality content. By signing up for a free account with an AI email generator, users can explore its capabilities and witness first-hand how it generates content ideas. These ideas can provide invaluable inspiration to improve their email marketing strategy, ultimately leading to higher conversion rates\u2014transforming readers into paying customers.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Remember, while AI might not fully replace human creativity and intuition, it can be an indispensable tool when utilized correctly. It serves as a powerful ally, for example, especially when you find yourself overwhelmed with email marketing tasks or are seeking ways to optimize your sales process.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In conclusion, it's worth considering AI as an invaluable asset for your business needs. The numerous benefits it offers\u2014ranging from efficient time management, enhanced personalization, improved engagement, machine learning, and the generation of high-quality content\u2014make it a highly valuable tool in today's fast-paced business environment.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Therefore, when pondering the question\u2014Can AI write my emails? The answer is a resounding yes. But more importantly, it's not just about the ability to write emails. It's about enhancing efficiency, fostering a personal connection with recipients, and driving engagement. In the final analysis, an AI email generator emerges as a tool that not only meets these criteria but goes beyond, fundamentally transforming the way we approach email marketing. It is indeed an exciting time to be at the intersection of AI and email marketing, and those who can most effectively leverage this synergy will undoubtedly stand at the forefront of their respective fields.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"\u200D\"\n      })]\n    })\n  }, {\n    id: \"Jg0WPhm3o\",\n    [c]: !1,\n    [h]: \"How to Write a Cover Letter with AI\",\n    [d]: \"how-to-write-a-cover-letter-with-ai\",\n    [p]: \"2023-09-16T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Sophia Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/YPt2MtsfmLMZZKUBmS5b5HtDs.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/2WjDRhxcDpGpxvS7Bih1DzwDb5I.jpg 5760w\"\n    }, \"\"),\n    [y]: \"Artificial Intelligence in Job Hunting: Crafting Effective Cover Letters\",\n    [b]: \"Discover how Artificial Intelligence (AI) is transforming the job hunting landscape with AI-generated cover letter examples. Learn how AI-driven tools enhance cover letter writing, aligning it with job requirements, emphasizing transferable skills, and infusing a personal touch. Uncover the significance of cover letters in job applications, explore key elements of a successful cover letter, and grasp how AI serves as an invaluable tool in composing effective cover letters. Explore the future potential of AI in job hunting, bridging personalization and efficiency in cover letter creation.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"h2\", {\n        children: \"Artificial Intelligence: A Game-changer in Job Hunting\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Artificial intelligence (AI) has already demonstrated its transformative power in various sectors, and job hunting is no exception. AI-crafted cover letter samples and templates have become instrumental in many job applications. This article uncovers how people are using AI-generated professional cover letter examples to compose a great cover letter.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Significance of Cover Letters\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Understanding the significance of a cover letter for your application is the first step. There are many good cover letter examples available with different AI tools. It's more than a mere document accompanying your resume; a cover letter is your personal narrative that details your skills and experiences. A well-written cover letter can spotlight your qualifications and passion, setting you apart from the rest of the applicants. In today\u2019s competitive job market, cover letters have become indispensable in successful job applications.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Key Elements of a Perfect Cover Letter\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"How important are cover letters when applying for jobs? When reading cover letters, five key elements typically stand out to hiring managers:\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Relevance\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The best cover letter examples demonstrate an understanding of the job and the company, articulating how the candidate\u2019s skills and experiences align with the job title and their needs. It's important that your potential employer believes you've read the job description carefully, and your cover letter shows that you've done research into the company and the role. For example, if you're writing a manager cover letter, you want to make sure you reference the details of the manager role, and not the administrative assistant position. That would be a different cover letter.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Personality and Passion\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"A good cover letter shows the applicant's genuine enthusiasm for the role and the company. Put some personality in! Show them who you are! An attention grabbing opening paragraph or endearing final paragraph might be the one thing that secures you a job interview at your dream law firm.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Skills and Experience\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Rather than repeating a resume, the right cover letter demonstrates how the candidate\u2019s experiences have prepared them for the role. Your closing paragraph should summarize why you are the best person for this role, based on the experiences you've had, and the skills they've taught you.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Clarity and Conciseness\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Given the large volume of applications, a great professional cover letter template is one that is well-structured, easy to read, and succinct. A simple cover letter that proves a point about the job seeker and is easy to read, is often the most successful.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Professionalism\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Your cover letter should maintain a professional tone, ensuring correct grammar, punctuation, spelling, and respectful language. You don't want to miss out on an opportunity because of a typo or misunderstanding.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Role of AI\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI and cover letter sample builders have transformed how we write our letters. Users input specific details for different cover letters such as their skills, job experiences, and the role posted into these AI-powered tools. The AI then generates a sample cover letter tailored to the user's details, saving time and ensuring the cover letter aligns with the job role.Furthermore, AI can improve the quality of your writing. AI tools serve as a kind of proofreading assistant for your cover letter, identifying grammar errors, spelling mistakes, punctuation errors, and even sentence structure issues.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"AI and Job Posting Alignment\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"An essential part of writing a compelling cover letter is aligning it with the hiring manager and job. AI cover letter builder software can analyze job descriptions and suggest relevant skills and phrases to include in the opening paragraph of your cover letter. When you're using an AI cover letter tool, this feature increases the likelihood of your cover letter resonating with the hiring manager.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"AI-Generated Cover Letter Examples\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI-generated cover letter examples can serve as an inspiration source, helping you understand how to compose a strong cover letter. Whether you're looking for construction cover letter examples, sales cover letter examples, education cover letter examples, marketing cover letter examples, hospitality cover letter examples, retail cover letter examples, transportation cover letter examples, or any other great cover letter examples by job title, AI has got you covered. Writing a cover letter can be daunting, but AI can really help with providing you a good cover letter example.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"How to Write a Cover Letter Example\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'When writing your cover letter with AI, it\\'s important to be specific about your requirements and goals. Start by clearly stating your objective. For example, \"Generate a cover letter for a software engineering role at a tech startup.\" Then, provide the AI with relevant details about yourself.These could include your skills, past experiences, achievements, and why you\\'re interested in the role or company. You might write, \"I have five years of experience in Python and Java, have led a team of developers in my current role, and am passionate about innovative tech solutions.\"Remember to request the AI to emphasize your transferable skills and adaptability, especially if you\\'re transitioning into a new industry or role. So, the final prompt could be: \"Generate a cover letter example for a software engineering role at a tech startup. I have five years of experience in Python and Java, have led a team of developers in my current role, and am passionate about innovative tech solutions. Highlight my leadership skills and ability to adapt quickly to new technological advancements.\"This concise, yet comprehensive prompt allows the AI to generate a detailed and personalized cover letter example tailored to your needs.'\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Using AI to help your Career Changes\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Career transitions can be daunting, especially when it comes to expressing transferable skills in a cover letter. This is where AI can be an immense help. If you're seeking to pivot into a new industry or role, AI-driven cover letter builders can guide you in crafting a compelling narrative.The AI algorithms analyze your past experiences and identify skills that are highly valued in your target industry or role. Moreover, they can suggest how to frame these skills in a way that appeals to hiring managers, emphasizing how your unique career journey has equipped you for this new challenge. This tailored guidance makes the process of writing a career change cover letter less overwhelming and more effective, increasing your chances of making a successful transition.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Personal Touch in AI-Generated Cover Letters\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While AI and cover letter builders have proved to be valuable tools, it's important to remember that a personal touch is still crucial. Your unique experiences, insights, and passion for the job role should still be the highlight of your own cover letter too. It is not just enough to respond to a job ad, you have to actually propose why you suit the employer's needs if you want to write a well written cover letter.Even with the most sophisticated AI tools, your cover letter should reflect your unique journey and aspirations. Using the AI-generated cover letter as a foundation, infuse your personality into it by sharing personal anecdotes or stories that have shaped your career. Mention specific achievements or projects that you're particularly proud of.Not only does this provide a richer context to your cover letter explains your skills and experiences, but it also enables potential employers to get a sense of who you are as a person. Remember, while AI can generate a well-structured and customized cover letter, it is your personal touch that breathes life into it and truly makes it your own. The goal is always a personalized cover letter.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Future of AI and Cover Letters\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As AI continues to evolve, its role in job hunting and crafting cover letters is set to increase. Soon, we may see AI offering more personalized and efficient assistance. For now, the modern resume template is a great place to start writing your job application letter, and make sure you make a mark in the applicant tracking systems. At the moment, a mix of AI and personal input seems to be the winning formula for writing compelling and effective cover letter letters in the 21st century.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Conclusion\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"No matter what sort of cover letter templates you're looking for, AI is here to help. Be sure to leverage AI to create a compelling cover letter that resonates with potential employers and helps you land your dream role. It's important that your job application cover letter includes a call to action, such as being considered for the role, or scheduling an interview.\"\n      })]\n    })\n  }, {\n    id: \"WAc4sHLy1\",\n    [c]: !1,\n    [h]: \"How Do You Build a Product With LLMs?\",\n    [d]: \"how-do-you-build-a-product-with-llms\",\n    [p]: \"2023-09-14T00:00:00.000Z\",\n    [m]: \"10 min\",\n    [g]: \"Margaret Jennings\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/obDxHLEIqBAWbIEJtt3laZmVF0.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/VQLnzlTxy6kMxQ92JKO7mZmrxc.jpg 5548w\"\n    }, \"\"),\n    [y]: \"Designing Products That Maximize the Capabilities of Large Language Models\",\n    [b]: \"This article provides an actionable framework for product builders seeking to leverage the abilities of large language models. It discusses identifying the best type of human-AI collaboration for your users, collecting human feedback to improve model performance over time, and forming an interdisciplinary team to make product decisions that maximize LLMs' capabilities.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"p\", {\n        children: \"Begin by viewing your product as a collaboration tool, choose a persona, then use product surfaces to collect feedback for model training.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Large Language Models (LLMs) are highly malleable and have the ability to support a wide range of activities, from acting as a sounding board or coach to conducting highly repeatable tasks. However, designing a product where user interaction enables critical signal and feedback for model training can be challenging.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In this essay, I share notes from the field - an attempt to write down my thought process as we build a product that leverages AGI research models. There are three primary steps: identifying your collaboration category, collecting feedback data, and empowering a multidisciplinary team for future product decisions.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"HOW TO BUILD A PRODUCT THAT LEVERAGES AGI RESEARCH MODELS\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As more become interested in Generative AI, many are asking: what\u2019s the best way to design a product that is powered by LLMs? The answer lies with how you intend to frame the product's value proposition and engage the user interaction to provide critical signal and feedback for model training.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"That said - more I work with LLMs, the more I find the need to design for user control and trust. This topic of user adoption will be covered in my next essay.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"STEP 1: CHOOSE A COLLABORATION TYPE\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [/*#__PURE__*/e(i, {\n          href: \"https://open.substack.com/pub/margaretjennings/p/coming-soon?r=obl7&utm_campaign=post&utm_medium=web\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"As previously stated\"\n          })\n        }), \", AGI is about accessing a set of skills that normally require decades of experience and mastery. At its best, AGI is a superior collaborator, asking the user to steer and refine the final output.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Your first step as a product builder in harnessing LLMs is to determine the type of collaboration you wish to support between the end user and research model. LLMs can be either task-oriented or open-ended, improving current practices or reimagining them entirely.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"The following is a rubric to help you decide how you want to leverage LLMs. LLMs can be applied in wide variety of use cases, such as a feature within an existing process (\", /*#__PURE__*/e(i, {\n          href: \"https://www.notion.so/product/ai\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Notion AI\"\n          })\n        }), \", \", /*#__PURE__*/e(i, {\n          href: \"https://blogs.microsoft.com/blog/2023/03/16/introducing-microsoft-365-copilot-your-copilot-for-work/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Microsoft Copilot\"\n          })\n        }), \") or a standalone product (\", /*#__PURE__*/e(i, {\n          href: \"https://openai.com/blog/chatgpt\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"ChatGPT\"\n          })\n        }), \", \", /*#__PURE__*/e(i, {\n          href: \"https://runwayml.com/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"RunwayML\"\n          })\n        }), \").\"]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"COLLABORATION RUBRIC\"\n      }), /*#__PURE__*/e(\"img\", {\n        alt: \"\",\n        className: \"framer-image\",\n        \"data-framer-asset\": \"data:framer/asset-reference,EPGCuo7IgMy3cNKdZMyK2N0yN8.png\",\n        \"data-framer-height\": \"1700\",\n        \"data-framer-width\": \"1750\",\n        height: \"850\",\n        src: \"https://framerusercontent.com/images/EPGCuo7IgMy3cNKdZMyK2N0yN8.png\",\n        style: {\n          aspectRatio: \"1750 / 1700\"\n        },\n        width: \"875\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"LLMs are multipurpose and can be programmed to support a spectrum of activities. Models are steered by prompts, which provide the model a persona to guide the model's ability to complete a task. Below is the same rubric populated by personas as well as products in the market to date.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"On the left side, there are \", /*#__PURE__*/e(\"strong\", {\n          children: \"linear\"\n        }), \" applications, whereby the LLM acts as a task-oriented agent, assistant, or specialist. This collaboration allows you to offload repeatable tasks aka enabling the LLM to do the unseen work of your day that most likely won\u2019t get you promoted. These tasks include updating spreadsheets (\", /*#__PURE__*/e(i, {\n          href: \"https://www.youtube.com/watch?v=EHQBGKaRKWY&t=406s\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Bard Demo at the Google IO\"\n          })\n        }), \"), online research (\", /*#__PURE__*/e(i, {\n          href: \"https://www.adept.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Adept demo\"\n          })\n        }), \"), or ordering groceries online (\", /*#__PURE__*/e(i, {\n          href: \"https://www.ted.com/talks/greg_brockman_the_inside_story_of_chatgpt_s_astonishing_potential/c?language=en\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"OpenAI Demo at TedX\"\n          })\n        }), \"). (If you\u2019re interested in reading more about AI and Unseen Work, I highly recommend Diana Forsythe\u2019s paper \", /*#__PURE__*/e(\"em\", {\n          children: \"\u201C\"\n        }), /*#__PURE__*/e(i, {\n          href: \"https://link.springer.com/article/10.1023/a:1008692231284\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"It's Just a Matter of Common Sense\u201D: Ethnography as Invisible Work\"\n            })\n          })\n        }), \" which includes an ethnography on AI Research Labs of the 90s and their value system of \u201Cvisible\u201D and \u201Cinvisible\u201D work).\"]\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"On the right side there are \", /*#__PURE__*/e(\"strong\", {\n          children: \"open-ended\"\n        }), \" applications, whereby the LLM acts as a sounding board, coach, or therapist. It can solve pain points or blockages in your creative process (\", /*#__PURE__*/e(i, {\n          href: \"https://research.runwayml.com/gen2\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Runway ML's Gen 2\"\n          })\n        }), \"), serve as a source of inspiration (\", /*#__PURE__*/e(i, {\n          href: \"https://beta.character.ai/\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Character AI's persona building\"\n          })\n        }), \") or act as an analyst or writing assistant by generating your first draft (\", /*#__PURE__*/e(i, {\n          href: \"https://www.notion.so/product/ai?utm_source=google&utm_campaign=19760654539&utm_medium=146603156397&utm_content=650097729281&utm_term=notion%20ai&targetid=kwd-1547008718840&gclid=Cj0KCQjwnMWkBhDLARIsAHBOftom5ztA-9enejguJdRPJPjm8bwhgGIhPiDFdtfT8hA_maMy1yjpHzsaAlXaEALw_wcB\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Notion AI\"\n          })\n        }), \").\"]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"CHOOSE A PERSONA\"\n      }), /*#__PURE__*/e(\"img\", {\n        alt: \"\",\n        className: \"framer-image\",\n        \"data-framer-asset\": \"data:framer/asset-reference,k8Tt67DxDY5cNZgRfPOB2oU814.png\",\n        \"data-framer-height\": \"1701\",\n        \"data-framer-width\": \"1750\",\n        height: \"850\",\n        src: \"https://framerusercontent.com/images/k8Tt67DxDY5cNZgRfPOB2oU814.png\",\n        style: {\n          aspectRatio: \"1750 / 1701\"\n        },\n        width: \"875\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"APPLICATIONS POWERED BY LLMs\"\n      }), /*#__PURE__*/e(\"img\", {\n        alt: \"\",\n        className: \"framer-image\",\n        \"data-framer-asset\": \"data:framer/asset-reference,WSAq3wsdFnFyXBWjqJocsK6xQE.png\",\n        \"data-framer-height\": \"1700\",\n        \"data-framer-width\": \"1750\",\n        height: \"850\",\n        src: \"https://framerusercontent.com/images/WSAq3wsdFnFyXBWjqJocsK6xQE.png\",\n        style: {\n          aspectRatio: \"1750 / 1700\"\n        },\n        width: \"875\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"STEP 2: YOUR CUSTOMERS ARE EXPERTS-IN-THE-LOOP SO BEGIN COLLECTING THEIR MODEL FEEDBACK\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"How you work and interact with the AGI models is critical IP for reinforcement learning. Where data moats were critical for Traditional AI, feedback data is critical for Generative AI.\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"Now that you\u2019ve decided \", /*#__PURE__*/e(\"strong\", {\n          children: \"how\"\n        }), \" you want the end user to collaborate with the research model, begin to think of your users as experts-in-the-loop who are helping you create better, more advanced models through their product usage.\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In order to train LLMs specific to your product, the product surfaces will require collecting the end user\u2019s input and feedback. Building and retraining LLM models comes from a subsection of deep learning called Reinforcement Learning Human Feedback (RLHF).\"\n      }), /*#__PURE__*/t(\"p\", {\n        children: [\"In \", /*#__PURE__*/e(i, {\n          href: \"https://huggingface.co/blog/rlhf\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"research\"\n          })\n        }), \", RLHF typically requires human annotators to rank a model\u2019s completion, which can be used to compare the outputs of multiple models and create a better, more regularized dataset. Research can often times be blocked when the model\u2019s performance is only as good as the human annotator\u2019s intuition on which behaviors look correct, so if the human annotator doesn\u2019t have a good grasp of the task they may not offer as much helpful feedback (OpenAI\u2019s \", /*#__PURE__*/e(i, {\n          href: \"https://openai.com/research/learning-from-human-preferences\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Learning from Human Preferences\"\n          })\n        }), \" and DeepMind\u2019s \", /*#__PURE__*/e(i, {\n          href: \"https://www.deepmind.com/blog/learning-through-human-feedback\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: \"Learning through Human Feedback\"\n          })\n        }), \").\"]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Building a product with a compelling value proposition means that the end user is (hopefully) an expert in the task at hand and can provide valuable feedback on when the behavior looks correct or hallucinates. Product based LLM training - therefore - has a higher chance of quality feedback data to train LLM models.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Gamifying feedback: Databricks Dolly is an example where a company trained a model by gamifying their colleagues participation in drafting instruction following (IF) and facilitating evals to create a GPT3-like model and open source it for commercial and research use.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(i, {\n          href: \"https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm\",\n          openInNewTab: !1,\n          smoothScroll: !1,\n          children: /*#__PURE__*/e(\"a\", {\n            children: /*#__PURE__*/e(\"em\", {\n              children: \"Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM\"\n            })\n          })\n        })\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"LEVERAGING PROMPT ANALYTICS\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The same way we think about product analytics, you can begin to capture prompt analytics across three types of feedback data:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Activation\"\n            }), \", whereby the user agrees with the initial prompt\u2019s completion and continues their intended workflow or disagrees with the initial completion and drops off;\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Qualitative\"\n            }), \", whereby the user is given an initial response and they can either regenerate the response or iterate their series of prompts to a completion of their liking;\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Binary\"\n            }), \", whereby the user can click on the positive or negative CTA next to the prompt completion; if negative, you can ask the end user to provide an annotation like answering \u201Cwhat type of response were you expecting?\u201D.\"]\n          })\n        })]\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"All three types should be reviewed by the prompt engineer or research scientist for model QA. Eventually your user\u2019s interactive data will elicit a comprehensive set of prompts to run model evals for model comparison when retraining your models.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"STEP 3: EMPOWER A MULTIDISCIPLINARY TEAM FOR PRODUCT DECISIONS\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As you\u2019ve probably gathered by now, building a product with LLMs is not just dynamic whereby each prompt completion is different but it is also iterative whereby each model deployment presents new challenges in evaluating its efficacy and product strengths. As you continue to design for user control and trust, creating a diverse team is important for making future product decisions.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"To help evaluate these opportunities and potential benefits, create a multidisciplinary team to review how the product is providing value and leveraging LLMs.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Product, prompt, and model decisions should be made together in close collaboration. One as the user advocate or vertical domain expert, second as the prompt engineer, LLM whisperer or studious prompt librarian, and the third holding the engineer hat aka someone who understands your technical architecture deeply:\"\n      }), /*#__PURE__*/t(\"ol\", {\n        children: [/*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Problem Definition\"\n            }), \" - The voice of the user that identifies the Jobs To Be Done, exploring how prompts and LLMs can be applied to drive deeper integration, collaboration, and value for the end user;\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"Prompt Engineering\"\n            }), \" - Advanced prompt design requires a prompt library custodian, someone who is working closely with the model and its versioning to ensure product excellence and quality feedback loops;\"]\n          })\n        }), /*#__PURE__*/e(\"li\", {\n          \"data-preset-tag\": \"p\",\n          children: /*#__PURE__*/t(\"p\", {\n            children: [/*#__PURE__*/e(\"strong\", {\n              children: \"RLHF Engineering\"\n            }), \" - To support the product and prompt iterations, the product requires building data infrastructure to collect the user\u2019s product interactions, prompts, and feedback to advance the model from its initial \u201Cone size fits all\u201D state to becoming increasingly more personalized and advanced based on user adoption.\"]\n          })\n        })]\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"CONCLUSION\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: 'We\u2019re just at the beginning of LLMs being adopted as new features, new interfaces, and new standalone products. It\u2019s incredibly exciting to be at the cutting edge - building a 0-to-1 product within a 0-to-1 industry. My hope is that this brief essay on LLMs as collaborators, inhabiting a persona, enabling feedback, and driving product excellence is useful to both those building as well as those curious about how computing might change. The more I work with LLMs, the more it becomes clear to me that we are steadily moving from \"word processing\" to \"work processing,\" where all of us will be managing a specialized group of LLMs for individual tasks, goals, and objectives, unlocking new opportunities we didn\\'t know were possible.'\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"em\", {\n          children: \"Special thanks to Andy Young, Anna Bernstein, Ashvin Nair, Mehdi Ghissassi, and Sara Hooker for expanding my context window, and to the team at Craft for their continued collaboration.\"\n        })\n      })]\n    })\n  }, {\n    id: \"wwalpTXhd\",\n    [c]: !1,\n    [h]: \"Databases are Dead (along with all the security they provided). Long live AI!\",\n    [d]: \"databases-are-dead-along-with-all-the-security-they-provided-long-live-ai\",\n    [p]: \"2023-09-13T00:00:00.000Z\",\n    [m]: \"5 min\",\n    [g]: \"Ron Williams\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/4zjz1T3wGyHyGlszSVJC7Jlnk.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png?scale-down-to=512 512w, https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png?scale-down-to=1024 1024w, https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png?scale-down-to=2048 2048w, https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png?scale-down-to=4096 4096w, https://framerusercontent.com/images/ysodKQlktmm4br1HzNsZL2QyOyY.png 5760w\"\n    }, \"\"),\n    [y]: \"The End of the Database Era and Data Security Through the AI Lens\",\n    [b]: \"As we enter the AI era, businesses should consider that AI models lack the data management and security capabilities that databases provided for decades. Legacy security practices must adapt to the unique challenges of protecting data accessed and generated by AI tools.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"h2\", {\n        children: \"For the last seventy years, databases have acted as the foundational piece of the tech stack. \"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"I call these years the Database Era. Every application and device you use today is built on some kind of database that organizes your information, and enforces permissions around who can read, store, change, or delete your data.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"This era began with data storage research in the 1950\u2019s, before IBM introduced the tool to the largest companies in the late 1960\u2019s. Then in 1977, Larry Elison left IBM and brought databases to the mainstream business world through his company, Oracle. Other commercial database vendors followed and then by the end of 2000\u2019s open source databases started dominating the market peaking in the last few years with some huge public database companies now the darlings of Wall Street.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Today, I think of databases as the silent unsung heroes of data security. Their security and compliance offerings are far more complex than most people understand, providing the exact data permissions and tracking we need for the applications, APIs, and infrastructure that keep our companies running.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"It\u2019s obvious to me that we\u2019re no longer in the Database Era. Instead, we\u2019re in the AI Era.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The AI Era began on August 10, 2022, when the open source community gained access to the code for the text to image AI called Stable Diffusion (happy anniversary!) creating a flurry of awareness that the AI ivory towers had fallen and advances were now in the hands of the general developer ecosystem. Awareness and reach of the power of AI was then sped up more by the launch of ChatGPT on November 30, 2022. What has followed is a wave of AI advancement, an explosion of generative AI, and the rapid democratization of one of humanity\u2019s most powerful technologies.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The impact of this fast growth has been felt across all of our industries. \\xa0Educators are worried about students turning in work done by AI. Employers are worried about confidential information going into AI models and how to track what happens after. Lawyers are worried about AI\u2019s misappropriation of IP rights and data privacy compliance. Governments are discussing regulation. Hollywood is striking and their signs all point to AI. \\xa0Everyone, it seems, is talking about how AI might transform their work, companies, and economies.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Personally, as a former IT executive and Chief Security Officer, I\u2019m thinking about how centralized management, security, and compliance will exist in this new AI era.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Back in 2013, I was working at Riot Games when our employees started asking about using a new messaging service called Slack. As a leading entertainment company, Riot\u2019s business relied on surprising our audiences. If our employees wanted to use Slack, I had to assess how the Slack data was handled, stored, and secured.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Fortunately, Slack was built at the time on a popular open source database called MySQL. The database relied on decades of proven database theory, data security engineering, and in-depth compliance capabilities protecting user data. It was an open source data tool built with enterprises like Riot Games in mind. Today, Slack is one of several dozen SaaS apps now being used by Riot, each dependent on their own database.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"As we embark on this new AI era, we have to remember that AI models are not databases. They are permission-less, hard-to-understand, huge lakes of data.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Since August 2022, VCs have written checks into over 700 AI startups, most are now pitching their products to enterprises. The problem is, everyone building and funding these AI products is acting like we\u2019re still in the Database Era and that a key set of data management, security, and compliance capabilities exist. The truth is, AI has none of these.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Let me explain. Think of AI as a data lake managed by a super-smart friendly intern. When you ask the AI a question, the intern will want to complete the task at hand. The issue is, the intern doesn\u2019t know the difference between what information you\u2019re allowed to have, and what you\u2019re not allowed to have. This means an employee might use a new AI tool with access to company data to search how much a colleague is making, or read their manager\u2019s performance review. Anything the AI has in it will happily be given over to anyone who shows up at the shores of the data lake.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Nothing within the AI model knows what is allowed with the data that the model receives. Nothing will stop the AI from handing company data out, and nothing records what happens with the data, or when. If you\u2019re a business with any kind of compliance burden, you legally can\u2019t even use the newest AI models (and probably 99% of the startups trying to sell AI to you), because you have no oversight. Even when it comes to outputs, AI companies can\u2019t tell you if their AI created something or if a human did. It\u2019s these risks that led many legal departments of the biggest companies in the world to ban products like ChatGPT for their employees.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"New AI tool vendors selling into businesses have a lot of data security, user auditing, and compliance controls to build, important things that were taken for granted when startups were building in the database era. Bringing in any AI tools in the market today, means that your data in it is on its own.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"As we accept the end of the Database Era, we have to rethink how data is being created, accessed, used, and managed by AI applications.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"It\u2019s clear that in the near future, knowledge workers will no longer need most of even the largest SaaS apps they rely on today. Instead, they\u2019ll have purpose built AIs to work directly with. This means that big on-premise and cloud database companies who have built a business of structuring and protecting data for everyone's software stack will no longer be the source of our data structures.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"I expect a few of the largest AI players will rush out new security features and spend years trying to properly implement decades of database style security and data management capabilities. These efforts will still lack centralized and standardized controls for all the other AI models handling data in a company. This problem will not easily be solved in the AI itself.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"If you are wondering how to bring the most powerful commercial and open source AI capabilities to every knowledge worker in a secure, centrally managed, and compliant environment - please feel free to reach out. Our team of enterprise AI, security, and infrastructure leaders from OpenAI, Google, Bloomberg, Robust Intelligence, Intuit, Square, Clover Health, Bird, and Riot Games are ready to help you move confidently into this new AI Era. Some of us are in Las Vegas this week during the Black Hat conference let us know if you would like to grab a coffee, chat about AI or just expand your network.\"\n      })]\n    })\n  }, {\n    id: \"t_LrMbLnJ\",\n    [c]: !1,\n    [h]: \"Can AI Rewrite my Sentences?\",\n    [d]: \"can-ai-rewrite-my-sentences\",\n    [p]: \"2023-09-11T00:00:00.000Z\",\n    [m]: \"6 min\",\n    [g]: \"Steve Roberts\",\n    [u]: I({\n      src: \"https://framerusercontent.com/images/TLDeiHDfhe0XxSawM0QMfJjl3M.svg\"\n    }, \"\"),\n    [f]: \"TD5abw2y5\",\n    [w]: I({\n      src: \"https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg?scale-down-to=4096\",\n      srcSet: \"https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/LlZVB3u1wCyDOKdx2yCfSH9PVQ.jpg 5184w\"\n    }, \"\"),\n    [y]: \"Augmenting Creativity: How AI Enhances Sentence Refinement and Writing Process\",\n    [b]: \"Discover how Artificial Intelligence (AI) is revolutionizing writing by assisting in refining sentences. Explore the role of AI sentence rewriters in enhancing writing productivity, grammar, style, and tone. Learn how AI is not replacing but collaborating with human creativity, offering advanced grammar checking, style adjustments, contextual analysis, and even SEO optimization. Explore the future of creative writing with AI, emphasizing the synergy between human writers and technology in shaping a new era of storytelling.\",\n    [v]: I(void 0, \"\"),\n    [k]: /*#__PURE__*/t(s.Fragment, {\n      children: [/*#__PURE__*/e(\"h2\", {\n        children: \"Augmenting Creativity: How AI Can Assist Users in Refining Their Sentences\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As we journey into the technological future, we are discovering a companion in our creative endeavors \u2013 Artificial Intelligence (AI). Far from the ominous image of technology 'taking over' creative fields, AI, particularly an AI sentence rewriter, has proven itself to be a valuable free tool that enhances and supports the writing process.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"We all want to write great stories and create original content, but we don't all want to waste time rewriting the same sentence over and over again. What we need, is a free tool, to generate unique content and rewrite our original text in an effective way. The right tool can proofread, and improve the messaging and tone of our unique version.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Advent of AI in Writing\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The advent of AI in writing, including the introduction of free online sentence rewriter tools, marks a transformative moment in the history of literature, language and communication. The emergence of AI sentence rewriter and paraphrasing tools in this creative domain reflects our era's confluence of art and technology, catalyzing a new wave of innovation that reshapes the writing landscape.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"AI: An Assistant, Not a Replacement\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Contrary to common belief, AI isn't here to replace humans. Instead, it serves as an assistant that helps us refine our work, enhancing productivity and accuracy. One area where AI shines particularly brightly is in sentence rewriting \u2013 honing and improving the syntax, grammar, style, and overall structure of sentences and paragraphs.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Enhancing Sentence Structure and Grammar with an AI Sentence Rewriter\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI-powered tools, like a free sentence rewriter tool, are equipped with advanced grammar checking and syntax improving algorithms. These paraphrasing tools can analyze a sentence and suggest improvements to enhance clarity and readability, aiding in rewriting sentences effectively.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Whether the tool is checking for correct spelling, deleting unnecessary words, or making sure you're writing in an active voice or passive voice, great tools can help you embrace your natural tone and create quality content. With these tools, you should feel like the rewritten sentence or content is simply an improved version of the input text you originally paste in. Remember, these AI tools are meant to reword sentences, but the ideas are still your own.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Style and Tone Adjustments\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI doesn't stop at grammar and syntax; it can also assist humans with maintaining consistent style and tone throughout the human's work. With the ability to learn and understand various writing styles, AI can suggest stylistic changes to words and phrases that align with the writer's chosen language and voice. This tool is particularly useful for brand consistency in copywriting or maintaining character voice in a novel .\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Contextual Analysis and Semantic Enhancements\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI's ability to comprehend the context allows it to provide recommendations for semantic enhancements. An AI sentence rewriter tool can suggest synonyms and rephrase sentences, enriching the original text, while preserving its original meaning. By utilizing these capabilities, users can avoid redundancy and ensure the reader that their work remains engaging.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"A Paraphrasing Tool for Plagiarism Free Content\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Paraphrasing, which is the process of rewording text to express the same ideas in new ways, can be complex and time-consuming. A paraphrasing tool can AI can streamline and simplify this process.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"By using Natural Language Processing (NLP) algorithms, an AI paraphrasing tool can understand the context and nuances of the original text, then generate a new version that maintains the same overall meaning but with different phrasing and structure. This is especially useful in a variety of fields, from academia where students often need to paraphrase sources to avoid plagiarism, to content creation where writers need to rehash existing ideas in a unique way. An AI-powered paraphrasing tool can can save significant time and effort while ensuring the integrity and clarity of the original message are preserved. This makes it an especially rewording tool.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Real-Time Feedback and Learning\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI-powered writing assistants, like an online sentence rewriter tool, offer real-time feedback, allowing humans to learn from their grammatical errors and grow. This feature not only helps in improving a particular piece of writing but also aids the individual in honing their skills for future projects.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Facilitating Writer's Workload\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI can also take over repetitive tasks, like formatting and basic editing. By doing so, AI provides individuals more time to focus on their creative processes and the development of their narratives.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Collaborative Human-AI Workflow\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"An AI sentence rewriter is best employed as part of a collaborative human-AI workflow, where the AI generates initial drafts or improvements, and the human writer applies their unique creativity and judgement to finalize the piece. By integrating an AI sentence rewriter tool into their workflow, users can leverage the best of both worlds \u2013 the precision and efficiency of an AI sentence changer, combined with the creativity and emotional depth of humans.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Effective Sentence Rewriting Tips\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"When using a free sentence rewriter tool, it's essential to keep a few sentence rewriting tips and techniques in mind. These will ensure that you make the most of the free tool's capabilities and produce exceptional content.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Maintain the original meaning after you Rewrite Sentences:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While the sentence rewriter tool provides alternative sentence structures, remember to retain the core meaning of the sentence or phrase. Make sure that what you put in the input box and what you get when you click the Rewrite Sentence button evoke the same meaning.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Review and edit:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Although the sentence rewriter tool offers automated rewrite suggestions, it's crucial to review and edit the tool before output. This step ensures that the the rewritten content, word and sentence aligns with your intended style and tone. Make sure that when you click the Rewrite Sentence button, you also take time to review your output.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Use diverse sentence structures:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Experiment with different word and sentence structures to add variety, rewrite sentences and enhance the flow of your writing.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Incorporate your own words:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"While the free sentence rewriter tool is free and helpful in sentence rewriting, don't rely solely on it. Add your own words and ideas to your article to create a personal connection with your target audience. Once you click Rewrite Sentence, make sure you review ways to bring your own words back in.\"\n      }), /*#__PURE__*/e(\"h3\", {\n        children: \"Be concise and clear:\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Aim for a full sentence or few sentences, concise and clear sentences that effectively convey your message.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Understanding SEO with a Sentence Rewriter Tool\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Another area where AI can be useful is in terms of SEO terms into blog content. By utilizing natural language processing and machine learning algorithms, AI can scan and understand the contextual relevance of the content, identify key terms and their synonyms, and provide suggestions on the most valuable SEO terms that need to be incorporated, based on search engine trends and user behavior data.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"AI knows how to maintain a balance, ensuring the content remains engaging and reader-friendly while being SEO-optimized. This reduces the chances of keyword stuffing and results in a more organic integration of SEO terms, words and phrases. The process can also be automated, enabling content writers to produce SEO-rich blogs without compromising the quality of their content.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: /*#__PURE__*/e(\"strong\", {\n          children: \"Looking into the Future\"\n        })\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"As AI continues to evolve, we can expect even more advanced features that further facilitate the creative process. However, it's important to remember that AI is a tool and not a substitute for human creativity and nuance. While the Rewrite Sentence feature is a benefit, we will still need to rely on our own talent, taste, and experience.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"The Road Ahead\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"Despite the advances in AI, the craft of writing remains inherently human. AI can help us write more succinct sentences and write more clearly, fluently, and efficiently, but it is the human writer who breathes life into the words we write.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The fusion of AI and human creativity is a promising frontier. Writers who embrace AI as a tool will find themselves better equipped to navigate the evolving literary landscape. As we move forward, the symphony between human writers and AI will continue to refine, resulting in a new era of storytelling that marries technological prowess with human creativity.\"\n      }), /*#__PURE__*/e(\"h2\", {\n        children: \"Conclusion\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"In conclusion, the use of AI in our editorial processes, particularly a sentence rewriter tool, is not about handing over the reins of creativity to machines but about using the strengths of AI to both rewrite sentences, refine our sentences and augment our creative capabilities.\"\n      }), /*#__PURE__*/e(\"p\", {\n        children: \"The dawn of AI in writing is here, and it is an exciting time for writers to explore, learn, and grow with this technology. 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