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It\u2019s a thoughtful process, designed to prioritize articles based on my unique interests.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,O8dKJ2WM1tzA0dmUXRoO1nc.jpeg\",\n      \"data-framer-height\": \"1278\",\n      \"data-framer-width\": \"1188\",\n      height: \"639\",\n      src: new URL(\"https://framerusercontent.com/images/O8dKJ2WM1tzA0dmUXRoO1nc.jpeg\").href,\n      style: {\n        aspectRatio: \"1188 / 1278\"\n      },\n      width: \"594\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The operational flow of this system can be envisioned through a simple, yet effective prompt, which goes something like this:\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"I'm a startup founder who's passionate about AI\", /*#__PURE__*/_jsx(\"br\", {}), \"Reply with your top {{n_resources}} non-duplicate resources on AI. \", /*#__PURE__*/_jsx(\"br\", {}), \"Add witty descriptions {{ explain }} in up to 3 sentences as a professional copywriter. \", /*#__PURE__*/_jsx(\"br\", {}), \"Choose from the list of {{resources}}. \", /*#__PURE__*/_jsx(\"br\", {}), \"Order your recommendations by {{ prioritization }}, \", /*#__PURE__*/_jsx(\"br\", {}), \"and make sure to reply in the following valid JSON structure: \", /*#__PURE__*/_jsx(\"br\", {}), '[{\"articleIndex\": index, \"shortExplanation\": short description }, ..., {\"articleIndex\": index, \"shortExplanation\": short description }].']\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"This is the actual prompt I started with, but over time I upgraded to using \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://github.com/hwchase17/langchain\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"LangChain\"\n        })\n      }), \" and \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://github.com/ShreyaR/guardrails\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Guardrails\"\n        })\n      }), \" to gain more control over the output.\"]\n    }), /*#__PURE__*/_jsx(\"h4\", {\n      children: \"Crafting the\\xa0Email\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Once the structure of the email was encapsulated in Python code, the next step on the journey was to morph it into Markdown. This transformation, though it might sound complex, was made remarkably straightforward thanks to \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://jinja.palletsprojects.com/en/3.1.x/\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Jinja\"\n        })\n      }), \". The result of this process was a neatly packaged\\xa0.md file.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"The journey didn\u2019t stop there, though. 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Harnessing the power of AI, it provides an integrated solution for effective meeting planning, smart scheduling, and comprehensive note-taking.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"At the core of Magical is the AI Agenda feature, a tool designed to automate the process of agenda creation. By simply entering your desired topics or goals, AI Agenda crafts a structured, bullet-pointed agenda tailored to your specific needs. The result is a focused, well-organized meeting that makes the best use of your valuable time.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The project also introduces the AI Time Assistant, a scheduling tool aimed at helping you manage your time optimally. It goes beyond merely finding suitable meeting slots; this AI assistant carefully considers your preferences and schedule to identify the best meeting times, ensuring your focus time remains uninterrupted.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another standout feature is the AI Notetaker, which acts as a real-time transcription service during your meetings. It doesn't just transcribe; it picks out the key points and action items from your discussion and generates a detailed summary. At the conclusion of your meeting, a complete recap is sent directly to your inbox. You can easily share this with other participants or export it to Notion.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Magical AI isn't about replacing your role in meetings but rather enhancing it. It tackles the routine, time-consuming tasks associated with meeting planning, scheduling, and note-taking, so you can concentrate on what truly matters \u2013 the conversation and the decisions to be made. Experience the magic of productivity, reimagined.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(Link, {\n        href: \"https://magical.so/\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Try Magical\"\n        })\n      })\n    })]\n  }),\n  LNAqp6Yvr: addImageAlt({\n    src: new URL(\"https://framerusercontent.com/images/8n3yJ0a1HXMisosbhBw4cq3MnqQ.png\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/8n3yJ0a1HXMisosbhBw4cq3MnqQ.png?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/8n3yJ0a1HXMisosbhBw4cq3MnqQ.png?scale-down-to=1024\").href} 1024w, ${new URL(\"https://framerusercontent.com/images/8n3yJ0a1HXMisosbhBw4cq3MnqQ.png\").href} 1928w`\n  }, \"\"),\n  lxIuOT0SJ: \"magical-so\",\n  RZJRbx4b7: \"fIkBFiPkf\",\n  TiL4TEdun: true,\n  u3A1lbFU5: addImageAlt({\n    src: new URL(\"https://framerusercontent.com/images/STnQNunLHDFW7EEza8xoxmmZmI.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/STnQNunLHDFW7EEza8xoxmmZmI.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/STnQNunLHDFW7EEza8xoxmmZmI.jpg\").href} 680w`\n  }, \"\"),\n  X84I2sgcJ: \"ltcLBa7kV\",\n  ZTGcbE8Hs: \"AI-powered scheduling, notes, and agendas\"\n}, {\n  afrkSz3Th: \"rgba(0, 0, 0, 0)\",\n  fAYVA1R2x: \"Simplex Fraud Detection\",\n  G7mBQ03CB: \"\",\n  gJfHKBi_5: null,\n  id: \"EjJnNej7V\",\n  Ivq9JvQ2x: \"2018\",\n  KSCgVofSU: \"2018-07-23T00:00:00.000Z\",\n  LCxsAgQkt: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"In the rapidly evolving fintech landscape, Simplex has emerged as a pioneer, consistently pushing the envelope with cutting-edge solutions. As a data scientist at Simplex, I had a front-row seat to this innovation, and an active role in driving it forward. Here is my journey.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When I first arrived at Simplex, I was fascinated by the labyrinthine complexity of the core machine learning models that lay at the heart of our fraud detection capabilities. These models, powered by the XGBoost algorithm, were impressively adept. Yet, I sensed opportunities for enhancement and thus, my quest for optimization began.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"I dove headfirst into the world of machine learning algorithms, exploring the depths of each, from their strengths and weaknesses to their applicability to our unique dataset. This was not a mere academic exercise; it was a systematic comparison of state-of-the-art algorithms, each vying for a chance to power our models.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"One algorithm stood out from the rest: CatBoost. Known for its handling of categorical features and robustness to overfitting, CatBoost seemed like a promising candidate. After rigorous testing and validation, I made the decision to switch from XGBoost to CatBoost, a move that marked a significant turning point in our modeling approach.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"While the algorithm switch was a major breakthrough, it wasn't the only challenge I faced. A key obstacle was the imbalanced nature of our dataset \u2013 a common issue in fraud detection where fraudulent transactions are significantly outnumbered by legitimate ones. This posed a risk of our models being skewed towards predicting the majority class, thus overlooking the crucial minority class of fraudulent transactions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"To tackle this, I employed various strategies such as oversampling the minority class, undersampling the majority class, and utilizing cost-sensitive learning. I also experimented with different evaluation metrics that were more suitable for imbalanced data, such as the Area Under the Precision-Recall Curve (AUPRC) instead of the traditional accuracy metric.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Simultaneously, I worked on refining our training methods and enhancing our feature set. By optimizing hyperparameters, employing regularization techniques, and leveraging cross-validation, I strengthened our models' resilience. 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}