{
  "version": 3,
  "sources": ["ssg:https://framerusercontent.com/modules/Kyv8of2FKVFlpGGFr4yK/uknrxE7Igg3auWVq41jB/REqU6c9cX-2.js"],
  "sourcesContent": ["import{jsx as e,jsxs as t}from\"react/jsx-runtime\";import{ComponentPresetsConsumer as n,Link as a}from\"framer\";import{motion as o}from\"framer-motion\";import*as r from\"react\";import{Youtube as i}from\"https://framerusercontent.com/modules/NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js\";export const richText=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"NAACL 2025 is a premier conference on computational linguistics and natural language processing, bringing together researchers and practitioners to discuss the latest advancements. \"}),/*#__PURE__*/e(\"p\",{children:\"The conference will cover key topics such as large language models, multilingual NLP, ethical AI, and human-computer interaction.\"}),/*#__PURE__*/e(\"p\",{children:\"Attendees can expect insightful discussions on real-world applications, emerging research challenges, and the future of language technologies. \"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://2025.naacl.org\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})})]});export const richText1=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.\"}),/*#__PURE__*/e(\"p\",{children:\"ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.\"}),/*#__PURE__*/t(\"p\",{children:[\"Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(a,{href:\"https://iclr.cc\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})]})]});export const richText2=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"In this panel discussion, industry experts will share practical insights into the future of multilingual AI systems. We\u2019ll discuss challenges in training and benchmarking multilingual models, and examine how they are applied in the industry and who benefits from them.\"}),/*#__PURE__*/e(\"p\",{children:\"What you\u2019ll learn:\"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Approaches to address the scarcity of multilingual datasets in post-training\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How sample-efficient learning techniques overcome data scarcity for multilingual NLU\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How translation impacts fine-tuning and evaluation\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Challenges of evaluating generative models without human references in a multilingual setting\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Why VLMs struggle with cultural and linguistic nuances\"})})]}),/*#__PURE__*/e(\"p\",{children:\"Whether you're an AI enthusiast or a practitioner, this session will shed light on how multilingual models are transforming AI development.\"})]});export const richText3=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/ahXMb-_Y2jw?si=lCb_NkQrDfTyQKSm\"})})})});export const richText4=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Experience the GTC AI Conference.\"}),/*#__PURE__*/t(\"p\",{children:[\"GTC is coming back to San Jose on March 17\u201321, 2025. Join thousands of developers, innovators, and business leaders to experience how AI and accelerated computing are helping humanity solve our most complex challenges.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),\"Toloka will be presenting a poster on \",/*#__PURE__*/e(\"strong\",{children:\"Improving LLM Performance With University Math Problems via Repeated Fine-Tuning. \"}),\"Stop by to learn more and talk to our researchers.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(a,{href:\"https://www.nvidia.com/gtc\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})]})]});export const richText5=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h4\",{children:\"What you'll learn about:\"}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Mathematical reasoning for LLMs\"}),\": Key use cases and areas where math reasoning fundamentally enhances language model capabilities.\"]})})}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"14px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(23, 43, 77)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Auto-formalization in math\"}),\": AlphaProof, Lean, and the applicability of automated verifiers for LLM training and evaluation.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Expert-curated data collection\"}),\": Best practices for sourcing high-quality datasets to assess and enhance model performance, including for university-level mathematical reasoning.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Designing effective benchmarks: \"}),\"Developing robust evaluation metrics, assessing model performance across different domains, and extracting actionable insights.\\xa0\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Boosting LLM performance with new data:\"}),\" Optimally leveraging a custom university-level training dataset to enhance the mathematical proficiency of top-performing LLMs.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Practical applications:\"}),\" Applying the results in academic, educational, and product contexts.\"]})})]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://docs.google.com/presentation/d/1IF_ubYL4PocTMl8KTKmGfEVlUIsQf_6jbZWiQwZmPjs/edit#slide=id.g1d71fed4671_0_21\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"View presentation\"})})})]});export const richText6=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/04JgIMRltVM?si=gWmDrnX3FJGVCeTE\"})})})});export const richText7=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h3\",{children:\"About the conference \"}),/*#__PURE__*/e(\"p\",{children:\"The AI & Big Data Expo Global is a premier event held in London, spotlighting the latest advancements in artificial intelligence, big data, and their applications across diverse industries. Bringing together thought leaders, innovators, and decision-makers, the expo features keynote presentations, interactive panel discussions, and an extensive showcase of cutting-edge solutions. It\u2019s an essential gathering for professionals eager to explore the transformative potential of AI and big data in areas such as healthcare, finance, retail, and beyond.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://www.ai-expo.net/global\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})}),/*#__PURE__*/e(\"h3\",{children:\"Our talk\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"February 6th, 13.30 - 13.50 Custom Safety Evaluations for AI Systems and Agents\"}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),\"Standard safety benchmarks often struggle to keep pace with emerging risks and use cases, particularly as AI capabilities rapidly advance. While these benchmarks provide a foundation, companies often need to address their specific policies and unique safety requirements. Through real-world case studies, this talk explores how organizations develop custom evaluation datasets and implement effective red teaming programs \u2013 from testing multimodal systems to evaluating AI agent behaviors. We'll examine practical approaches to safety testing, highlighting the crucial role of human expertise in developing and implementing comprehensive evaluation frameworks.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]})]});export const richText8=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h3\",{children:\"Come visit us at BOOTH #H2-8\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates:\"}),\"\\xa0February 5 \u2013 6, 2025\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://aieverythingglobal.com/home\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})})]});export const richText9=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h4\",{children:\"Our Tutorial \"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"Sunday, January, 19th 14:00-17:30\"})}),/*#__PURE__*/e(\"h4\",{children:\"Agenda\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/t(\"strong\",{children:[\"Part 1: Introduction (20 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section addresses the critical need for extensive labeled datasets and introduces key concepts.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 2: LM workflows (30 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section will demonstrate best practices for common workflows involving language models (LMs) and large language models (LLMs). These workflows aim to (i) create efficient LMs with acceptable performance optimized for labeling data, and (ii) generate synthetic data for data augmentation.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 3: Active learning with LMs (40 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section presents Active learning (AL) in data annotation. We discuss key strategies for both generative and non-generative AL, their applications, advantages, and limitations.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 4: Quality control and managing human workers (30 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section focuses on quality control and best practices in working with human annotators.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 5: Hybrid pipelines (40 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section presents developing hybrid pipelines, e.g. effectively combining human and model labeling to achieve the best balance of quality, cost, and speed.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 6: Limitations (20 min) \",/*#__PURE__*/e(\"br\",{})]}),\"This section addresses the challenges of labeling tasks with LMs, the various reasons behind these difficulties, and future research directions to lift these limitations. \",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/t(\"strong\",{children:[\"Part 7: Hands-on session: Hybrid data annotation (30 min) \",/*#__PURE__*/e(\"br\",{})]}),\"In this hands-on session, we will implement a hybrid approach on a real-world dataset and demonstrate improvements in annotation quality.\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})]}),/*#__PURE__*/e(\"h4\",{children:\"Materials & slides\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://docs.google.com/presentation/d/1vum7or5PqLCE6MbbH2KnJrwJ2uzLMEpc19M6Nzuy_0I/edit#slide=id.p\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"strong\",{children:\"Presentation\"})})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://colab.research.google.com/drive/1-plrNVyLgn4E0KgxemhwpaxBFP-QqZfV\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:/*#__PURE__*/e(\"strong\",{children:\"Practical part\"})})})})]});export const richText10=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h3\",{children:\"Come visit us at BOOTH #617\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates:\"}),\"\\xa0December 10 \u2013 15, 2024\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://neurips.cc\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Link to the conference\"})})})]});export const richText11=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"What you\u2019ll learn:  \"}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Which use cases for code models and agent-based systems need trajectory evaluation, and why\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Which model skills are essential for autonomous behavior and solving long-horizon tasks in code  \"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How trajectory annotation assists in training and evaluating models  \"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How to ensure the safety of models and agent-based systems  \"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"When to use synthetic data, when to get experts involved in data annotation, and how hybrid annotation works  \"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"You\u2019ll also find out where researchers are focusing their efforts, and what types of breakthrough products we can expect to be developed next.\"})})]})]});export const richText12=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\" https://youtu.be/Es1Jdcx9Isc?si=ZGvG2BqMrndtXvKQ\"})})})});export const richText13=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Overview\"}),/*#__PURE__*/e(\"p\",{children:\"In this session, we will guide you through evaluating the safety and biases of GenAI models. Whether you're a model builder, app developer, or industry regulator, this session will equip you with a clear, risk-based approach to identifying and addressing key safety concerns.. Here's what you can expect:\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"316\",src:\"https://framerusercontent.com/images/4AO3FPlK7EDL6NL3XBC7Yn1cHQ.png\",srcSet:\"https://framerusercontent.com/images/4AO3FPlK7EDL6NL3XBC7Yn1cHQ.png?scale-down-to=512 512w,https://framerusercontent.com/images/4AO3FPlK7EDL6NL3XBC7Yn1cHQ.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/4AO3FPlK7EDL6NL3XBC7Yn1cHQ.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/4AO3FPlK7EDL6NL3XBC7Yn1cHQ.png 2624w\",style:{aspectRatio:\"2624 / 632\"},width:\"1312\"}),/*#__PURE__*/e(\"p\",{children:\" \"})]});export const richText14=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://www.youtube.com/watch?v=9w2f0D9LnjI \"})})})});export const richText15=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"p\",{children:\"This tutorial provides a detailed guide on collecting data for aligning large language models (LLMs) with low-resource languages (LRLs). It addresses the challenge of data scarcity in these languages and introduces a pipeline for generating high-quality data, using Swahili as a primary example. The tutorial covers strategies for dataset collection and alignment of LLMs to LRLs, offering comprehensive guidance on producing and utilizing high-quality data for language technology development in under-resourced languages.    \"}),/*#__PURE__*/e(\"h3\",{children:\"Materials\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(a,{href:\"https://github.com/AligningLLMtoLRL/AligningLLMtoLRL.github.io/blob/main/materials/tutorial.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Tutorial content\"})}),\"  \"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://github.com/AligningLLMtoLRL/AligningLLMtoLRL.github.io/blob/main/materials/Dataset.zip\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Swahili Dataset\"})})})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://github.com/AligningLLMtoLRL/AligningLLMtoLRL.github.io/blob/main/materials/Slides.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Slides\"})})})})]}),/*#__PURE__*/e(\"h3\",{children:\"Notebooks\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://github.com/AligningLLMtoLRL/AligningLLMtoLRL.github.io/blob/main/materials/AYA_Notebook.ipynb\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"AYA_Notebook\"})})})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://github.com/AligningLLMtoLRL/AligningLLMtoLRL.github.io/blob/main/materials/LRL_Notebook.ipynb\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"LRL_Notebook\"})})})})]}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"374\",src:\"https://framerusercontent.com/images/DNggW81DzntJOorRXbpxj6R7s.png\",srcSet:\"https://framerusercontent.com/images/DNggW81DzntJOorRXbpxj6R7s.png?scale-down-to=512 512w,https://framerusercontent.com/images/DNggW81DzntJOorRXbpxj6R7s.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/DNggW81DzntJOorRXbpxj6R7s.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/DNggW81DzntJOorRXbpxj6R7s.png 3288w\",style:{aspectRatio:\"3288 / 748\"},width:\"1644\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"339\",src:\"https://framerusercontent.com/images/6iadq9vno2OdGD8QjHj3oL0PcZw.png\",srcSet:\"https://framerusercontent.com/images/6iadq9vno2OdGD8QjHj3oL0PcZw.png?scale-down-to=512 512w,https://framerusercontent.com/images/6iadq9vno2OdGD8QjHj3oL0PcZw.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/6iadq9vno2OdGD8QjHj3oL0PcZw.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/6iadq9vno2OdGD8QjHj3oL0PcZw.png 3292w\",style:{aspectRatio:\"3292 / 678\"},width:\"1646\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"338\",src:\"https://framerusercontent.com/images/KYMLuHXvQTacqP8SyNQbKIm8cI.png\",srcSet:\"https://framerusercontent.com/images/KYMLuHXvQTacqP8SyNQbKIm8cI.png?scale-down-to=512 512w,https://framerusercontent.com/images/KYMLuHXvQTacqP8SyNQbKIm8cI.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/KYMLuHXvQTacqP8SyNQbKIm8cI.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/KYMLuHXvQTacqP8SyNQbKIm8cI.png 3292w\",style:{aspectRatio:\"3292 / 676\"},width:\"1646\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"376\",src:\"https://framerusercontent.com/images/23O3cPVqyWfCXmKvsn8QjXS13Q.png\",srcSet:\"https://framerusercontent.com/images/23O3cPVqyWfCXmKvsn8QjXS13Q.png?scale-down-to=512 512w,https://framerusercontent.com/images/23O3cPVqyWfCXmKvsn8QjXS13Q.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/23O3cPVqyWfCXmKvsn8QjXS13Q.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/23O3cPVqyWfCXmKvsn8QjXS13Q.png 3286w\",style:{aspectRatio:\"3286 / 752\"},width:\"1643\"})]});export const richText16=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/e(\"p\",{children:\"NeurIPS is a leading science conference that brings together researchers in machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, life sciences, natural sciences, social sciences, and other adjacent fields.\"}),/*#__PURE__*/e(\"p\",{children:\"Here are some details on where and how you can connect with us at NeurIPS:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Visit us at Booth #702: drop by anytime, as we'll be here all day, every day.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Meet for coffee or schedule a meeting: our team will be available throughout the event to engage with you! You'll find their contacts in the next section.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[\"Explore our latest offerings: we're excited to share insights about our new offerings, including a sneak peek at our\\xa0\",/*#__PURE__*/e(a,{href:\"https://toloka.ai/files/llm-evaluation-platform.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"LLM Evaluation SaaS platform\"})}),\".\"]})})]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"December 10 \u2013 16, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://maps.app.goo.gl/dYL3cK69fTTZeqgP9\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"New Orleans Ernest N. Morial Convention Center\"})}),\", 900 Convention Center Blvd, New Orleans, LA 70130, United States\"]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #702\"})]});export const richText17=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/e(\"p\",{children:\"Ai-Everything, is one of the world's largest and most influential events dedicated to artificial intelligence.\"}),/*#__PURE__*/e(\"p\",{children:\"Hosted by the UAE's Minister of State for Artificial Intelligence, Digital Economy & Remote Work Application Office, Ai-Everything will advance a more nuanced understanding of today's Ai technology and its long term potential.\"}),/*#__PURE__*/e(\"p\",{children:\"Strategically co-located with GITEX, Ai-Everything benefits from a globally impactful marketing campaign with a 42 year legacy, whilst retaining a unique focus on the global artificial intelligence ecosystem.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"October 16 \u2013 20, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/BrYWUQmKN8dyBKfm7\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Dubai World Trade Centre\"})})]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #H9-23\"})]});export const richText18=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/t(\"p\",{children:[\"Big Data & AI World Asia is part of Tech Week Singapore, presented by CloserStill Media, bringing together six other leading technology events. Immerse yourself in the region's most comprehensive and exciting big data and AI show. Join thousands of technologists, data specialists, and AI pioneers to discover cutting-edge technologies and harness the true potential of your data. You can find more info on the conference's\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.bigdataworldasia.com/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"October 11 \u2013 12, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/UAXiCMpetndEmvpN8\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Marina Bay Sands\"})}),\", 10 Bayfront Ave, Singapore\"]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #037\"}),/*#__PURE__*/e(\"h2\",{children:\"Our talk\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"strong\",{children:\"LLM Them Talk: How to Navigate Future?\"})}),/*#__PURE__*/e(\"p\",{children:\"Large Language Models are game-changers across the board. Hypothetically, they could revolutionize every aspect of your business. Where to start? Which model to choose? How can you measure the resulting performance in a reliable way so that you know that the experiment is worth your time and recourses? Every new technologic wave spans these questions. Only the ones who find the answers manage to stay on top. In my talk I'll try to make an overview of the recent LLM trends illustrating them with practical business cases. I will also present basic rules of thumb that could save you time and money on the decisions regarding LLM implementation.  \"})]});export const richText19=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"p\",{children:\"Prior work in human computation and crowdsourcing has shown how human annotators fall prey to their own opinions and implicit biases while completing annotation tasks, leading to systematic biases creeping into the resulting data collections and trained ML models. Checklists have been proposed for either combating or reporting potential cognitive biases that may have emerged during annotation processes. Recent research has also revealed discriminatory stances and stereotypical biases present in LLMs. This webinar will share insights on how we can collect bias-aware annotations from humans and discuss approaches towards building robust Human-Centered AI systems by leveraging LLMs.\"}),/*#__PURE__*/t(\"h5\",{children:[/*#__PURE__*/e(a,{href:\"https://toloka.ai/files/beyond-buzzwords.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Download\"})}),\" our presentation \"]})]});export const richText20=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/xIsmxYOMD3o\"})})})});export const richText21=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/t(\"p\",{children:[\"eCommerce Expo is for eCommerce leaders and their teams looking for specialised content, market insights and the latest technologies to optimise their online sales and get the most out of every click, view, like and purchase. You can find more info on the conference's\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.ecommerceexpo.co.uk/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"September 27 - 28, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/E7jFsxgZvqvVzGpC9\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"ExCeL London\"})}),\", One Western Gateway, Royal Victoria Dock, London E16 1XL\"]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #EP8\"}),/*#__PURE__*/e(\"h2\",{children:\"Our talk\"}),/*#__PURE__*/t(\"p\",{children:[\"Toloka's topic:\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Improving e-commerce business performance with machine learning and human crowdsourcing\"})]}),/*#__PURE__*/e(\"p\",{children:\"How to improve your search and increase conversion & GMV? How to quickly tag all items in a catalog or deduplicate the same SKUs? How to save money on content moderation? How to monitor competitors' pricing with higher quality?\"}),/*#__PURE__*/e(\"p\",{children:\"Data labeling and machine learning is a viable and advantageous approach for ecommerce companies to effectively tackle these questions. Discover the potential of data-driven strategies to achieve sustained growth and success in the competitive ecommerce landscape. \"})]});export const richText22=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/e(\"p\",{children:\"Paris Retail Week, the leading event in omnichannel commerce, which brings together major brands, retailers and solution providers, will help you decipher trends, explore innovations in the sector and answer all these questions.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"September 19 - 21, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/VN5o5ZMTEk1ABVfu5\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Paris Expo Porte de Versailles\"})}),\", Pavillion 4, Paris, France\"]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #4B018\"}),/*#__PURE__*/e(\"h2\",{children:\"Our talk\"}),/*#__PURE__*/t(\"p\",{children:[\"Toloka's topic:\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Improving e-commerce business performance with machine learning and human crowdsourcing\"})]}),/*#__PURE__*/e(\"p\",{children:\"How to improve your search and increase conversion & GMV? How to quickly tag all items in a catalog or deduplicate the same SKUs? How to save money on content moderation? How to monitor competitors' pricing with higher quality?\"}),/*#__PURE__*/e(\"p\",{children:\"Data labeling and machine learning is a viable and advantageous approach for ecommerce companies to effectively tackle these questions. Discover the potential of data-driven strategies to achieve sustained growth and success in the competitive ecommerce landscape.  \"})]});export const richText23=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/e(\"p\",{children:\"Over two and a half days, Ai4 2023 brings together business leaders and data practitioners to facilitate the responsible adoption of artificial intelligence and machine learning technology. Join us at the industry's most impactful AI event.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates: \"}),\"August 7 - 9, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/xLSUc6Uiv5qpG1WA7\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"MGM Grand\"})}),\", 3799 S Las Vegas Blvd, Las Vegas, NV 89109\"]}),/*#__PURE__*/e(\"p\",{children:\"Come visit us at BOOTH #201  \"}),/*#__PURE__*/e(\"h2\",{children:\"Data Management, Flow and Pipelines\"}),/*#__PURE__*/e(\"p\",{children:'Data is the fuel for all machine learning applications. \"Garbage in, garbage out\", as they say! With so many machine learning efforts falling flat, effective data management, flow and pipelines can make a huge difference in the number of effective machine learning models that make it into production. Yet developing an effective data strategy, sourcing good data, adopting a cutting edge tech stack, and creating solid operations for data are far from easy. This technical panel will gather data science and engineering leaders to discuss effective data strategies for successful AI.'}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"632\",src:\"https://framerusercontent.com/images/BDzyQvFmjcs6XB38KjeV0VPdB2Y.png\",srcSet:\"https://framerusercontent.com/images/BDzyQvFmjcs6XB38KjeV0VPdB2Y.png?scale-down-to=512 512w,https://framerusercontent.com/images/BDzyQvFmjcs6XB38KjeV0VPdB2Y.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/BDzyQvFmjcs6XB38KjeV0VPdB2Y.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/BDzyQvFmjcs6XB38KjeV0VPdB2Y.png 3294w\",style:{aspectRatio:\"3294 / 1264\"},width:\"1647\"}),/*#__PURE__*/e(\"h2\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})}),/*#__PURE__*/e(\"h2\",{children:\"AI for Retail: Driving the New Consumer Experience\"}),/*#__PURE__*/e(\"p\",{children:\"AI is enabling rapid technological overhaul in an industry that saw a major disruption due to the pandemic. These advancements include checkoutless technology, automated supply chains, better demand predictions, enhanced pricing, product discovery and comparison, and more. AI is at the heart of these changes, enabling retailers to do more with less and provide a more personalized, end-to-end experience to their customers. This panel will gather industry leaders at major brands to explore the major AI trends in retail.\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"632\",src:\"https://framerusercontent.com/images/QFM2AYFyRM9ZMdBoSwoqExZi4.png\",srcSet:\"https://framerusercontent.com/images/QFM2AYFyRM9ZMdBoSwoqExZi4.png?scale-down-to=512 512w,https://framerusercontent.com/images/QFM2AYFyRM9ZMdBoSwoqExZi4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/QFM2AYFyRM9ZMdBoSwoqExZi4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/QFM2AYFyRM9ZMdBoSwoqExZi4.png 3290w\",style:{aspectRatio:\"3290 / 1264\"},width:\"1645\"})]});export const richText24=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/HuMAfZSKQlQ\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/FAyh_zZbIJE\"})})})]});export const richText25=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Reinforcement Learning from Human Feedback: A Tutorial\"}),/*#__PURE__*/e(\"p\",{children:\"Reinforcement learning from human feedback (RLHF) has dramatically improved the real-world performance and user experience of large machine learning models. However, this approach has remained largely out of reach for most academic researchers.\"}),/*#__PURE__*/e(\"p\",{children:\"Our tutorial covers the two essential parts of a successful RLHF project: the core machine learning techniques behind RLHF, and the human-in-the-loop methodology for collecting human feedback data. As a take-home assignment, you will run your first RLHF experiment with a simple creative task to make top-5 lists of items the user requests (for instance, top ideas for Thanksgiving meals). \"}),/*#__PURE__*/t(\"h5\",{children:[/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/icml-2023.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Download\"})}),\" our ICML 2023 presentation \"]}),/*#__PURE__*/e(\"h2\",{children:\"Agenda\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/PE4imfRIeeerqsCr6uiQZrg3VLk.png\",srcSet:\"https://framerusercontent.com/images/PE4imfRIeeerqsCr6uiQZrg3VLk.png?scale-down-to=512 512w,https://framerusercontent.com/images/PE4imfRIeeerqsCr6uiQZrg3VLk.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/PE4imfRIeeerqsCr6uiQZrg3VLk.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/PE4imfRIeeerqsCr6uiQZrg3VLk.png 2902w\",style:{aspectRatio:\"2902 / 438\"},width:\"1451\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"301\",src:\"https://framerusercontent.com/images/f4zp47eWGaqkW0SqJNuH9x5iDEE.png\",srcSet:\"https://framerusercontent.com/images/f4zp47eWGaqkW0SqJNuH9x5iDEE.png?scale-down-to=512 512w,https://framerusercontent.com/images/f4zp47eWGaqkW0SqJNuH9x5iDEE.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/f4zp47eWGaqkW0SqJNuH9x5iDEE.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/f4zp47eWGaqkW0SqJNuH9x5iDEE.png 2894w\",style:{aspectRatio:\"2894 / 602\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"217\",src:\"https://framerusercontent.com/images/kwIE0L4Kv8dWMRJNrVK68Dkc.png\",srcSet:\"https://framerusercontent.com/images/kwIE0L4Kv8dWMRJNrVK68Dkc.png?scale-down-to=512 512w,https://framerusercontent.com/images/kwIE0L4Kv8dWMRJNrVK68Dkc.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/kwIE0L4Kv8dWMRJNrVK68Dkc.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/kwIE0L4Kv8dWMRJNrVK68Dkc.png 2898w\",style:{aspectRatio:\"2898 / 434\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"301\",src:\"https://framerusercontent.com/images/0qa19AV2OoUes9xDqdoWuO1Q4.png\",srcSet:\"https://framerusercontent.com/images/0qa19AV2OoUes9xDqdoWuO1Q4.png?scale-down-to=512 512w,https://framerusercontent.com/images/0qa19AV2OoUes9xDqdoWuO1Q4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/0qa19AV2OoUes9xDqdoWuO1Q4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/0qa19AV2OoUes9xDqdoWuO1Q4.png 2892w\",style:{aspectRatio:\"2892 / 602\"},width:\"1446\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"223\",src:\"https://framerusercontent.com/images/oD2aW18VEZ75xWQCywFtMarzGRs.png\",srcSet:\"https://framerusercontent.com/images/oD2aW18VEZ75xWQCywFtMarzGRs.png?scale-down-to=512 512w,https://framerusercontent.com/images/oD2aW18VEZ75xWQCywFtMarzGRs.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/oD2aW18VEZ75xWQCywFtMarzGRs.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/oD2aW18VEZ75xWQCywFtMarzGRs.png 2896w\",style:{aspectRatio:\"2896 / 446\"},width:\"1448\"}),/*#__PURE__*/e(\"h2\",{children:\"Technical overview\"}),/*#__PURE__*/e(\"p\",{children:\"The technical overview will break down the RLHF process into three primary stages: language modeling for the base policy, modeling of human preferences, and performing optimization with RL. This part of the tutorial will be technical and will describe potential research questions, pitfalls, and tips for successful projects.\"}),/*#__PURE__*/e(\"h2\",{children:\"Human Annotation for RLHF\"}),/*#__PURE__*/e(\"p\",{children:\"In this section, we will address challenges in collecting human-produced texts and performing human preference scoring. We will focus on three aspects of human annotation for RLHF:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Basics of data labeling.\"}),\" Introduction to data labeling with crowdsourcing and integrating human input into ML systems. We'll discuss avoiding common pitfalls and providing good instructions to the crowd.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Collecting human-augmented texts.\"}),\" We'll address the challenges of gathering human-augmented texts, which are crucial for training an initial language model for instruction tasks.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Collecting human scores.\"}),\" We'll show you three approaches to obtain human scores of prompt completions used for training a reward model. \"]})})]}),/*#__PURE__*/e(\"h2\",{children:\"Practical assignment\"}),/*#__PURE__*/e(\"p\",{children:\"To apply what you learn about RLHF methods, you'll have the opportunity to complete a short practical assignment after the tutorial. The assigned task will involve generating top-5 lists for a user's query. You'll use example lists as human demonstration data at the supervised fine-tuning stage, then run preference modeling and RL fine-tuning to make the model's outputs more helpful and faithful to the prompt.\"})]});export const richText26=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"About the conference\"}),/*#__PURE__*/t(\"p\",{children:[\"DELIVER gives Europe's leading commerce and supply chain businesses the opportunity to connect in-person, highlight thought leaders at curated and interactive sessions, and demonstrate technologies to an audience of key retail decision-makers on the event exhibition floor.\",/*#__PURE__*/e(\"br\",{}),\"You can find the\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.deliver.events/europe/agenda\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"agenda\"})}),\"\\xa0and other info on it's\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.deliver.events/europe/welcome\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/e(\"h2\",{children:\"When & where\"}),/*#__PURE__*/t(\"p\",{children:[\":\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/E54kJa8Kk2RmX4Cb6\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Taets Art and Event Park\"})}),\", Middenweg 62 Hembrugterrein, 1505RK Zaandam, Netherlands\",/*#__PURE__*/e(\"br\",{}),\"Dates: June 7 \u2013 8, 2023\"]}),/*#__PURE__*/t(\"p\",{children:[\"Don't forget to visit us at \",/*#__PURE__*/e(\"strong\",{children:\"Booth A13\"}),\"!\"]})]});export const richText27=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Who will be our guide on a path\\xa0to Trustful and Fair AI?\"}),/*#__PURE__*/e(\"p\",{children:\"This talk is about the humans behind the technology. Crowd workers are rarely mentioned, yet they are key to making AI safe, trustworthy, and fair. We will discuss how data science can be augmented with effective crowdsourcing to make AI solutions more relevant and adaptive. We'll look at three fundamental studies that illustrate how humans affect the development of modern AI, and outline a path to the future.\"}),/*#__PURE__*/e(\"h2\",{children:\"When & where\"}),/*#__PURE__*/t(\"p\",{children:[\"The Data Innovation Summit is one of the largest and most influential annual Data and AI events in the Nordics and beyond. You can find more info on the\\xa0\",/*#__PURE__*/e(a,{href:\"https://datainnovationsummit.com/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\" Kistam\\xe4ssan, Stockholm\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Dates:\"}),\" May 11, 2023 \u2013 May 12, 2023\",/*#__PURE__*/e(\"br\",{}),\"Don't forget to visit us at \",/*#__PURE__*/e(\"strong\",{children:\"booth #C63\"})]})]});export const richText28=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/enr__-mQmBU\"})})})});export const richText29=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"img\",{alt:\"Image\",className:\"framer-image\",height:\"80\",src:\"https://framerusercontent.com/images/X8T1hBNz1hBCwlcMMkjNV9CJvo.jpeg\",srcSet:\"https://framerusercontent.com/images/X8T1hBNz1hBCwlcMMkjNV9CJvo.jpeg?scale-down-to=512 512w,https://framerusercontent.com/images/X8T1hBNz1hBCwlcMMkjNV9CJvo.jpeg?scale-down-to=1024 1024w,https://framerusercontent.com/images/X8T1hBNz1hBCwlcMMkjNV9CJvo.jpeg?scale-down-to=2048 2048w,https://framerusercontent.com/images/X8T1hBNz1hBCwlcMMkjNV9CJvo.jpeg 2400w\",style:{aspectRatio:\"2400 / 160\"},width:\"1200\"}),/*#__PURE__*/e(\"p\",{children:\"Our upcoming meetup is all about human-AI collaboration. You'll learn about the concept of human-centered AI, practical ways to use crowdsourcing for data collection, and how humans can collaborate with ML models to achieve optimal quality and scalability for data labeling. Join the event to explore human-centered AI with us.\"}),/*#__PURE__*/e(\"p\",{children:\"We welcome data scientists, researchers, ML engineers, and anyone who interacts with AI. Content is geared toward an audience with an intermediate level of AI experience. Snacks and drinks are provided.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Format:\"}),\" Hybrid (both online and offline)\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/TbyBBZVkc9ob4pry6\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Northeastern University\"})}),\", West Village H, room 366\"]}),/*#__PURE__*/e(\"h2\",{children:\"Agenda\"}),/*#__PURE__*/e(\"p\",{children:\"* The time is indicated in Boston time zone (UTC-04)\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"222\",src:\"https://framerusercontent.com/images/Qd5wNTVahJjE3X5rtOK4WRMuQe0.png\",srcSet:\"https://framerusercontent.com/images/Qd5wNTVahJjE3X5rtOK4WRMuQe0.png?scale-down-to=512 512w,https://framerusercontent.com/images/Qd5wNTVahJjE3X5rtOK4WRMuQe0.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/Qd5wNTVahJjE3X5rtOK4WRMuQe0.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/Qd5wNTVahJjE3X5rtOK4WRMuQe0.png 2892w\",style:{aspectRatio:\"2892 / 444\"},width:\"1446\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/OSyacaTO6Y8aIFRQU6ldUzDnQRo.png\",srcSet:\"https://framerusercontent.com/images/OSyacaTO6Y8aIFRQU6ldUzDnQRo.png?scale-down-to=512 512w,https://framerusercontent.com/images/OSyacaTO6Y8aIFRQU6ldUzDnQRo.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/OSyacaTO6Y8aIFRQU6ldUzDnQRo.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/OSyacaTO6Y8aIFRQU6ldUzDnQRo.png 2898w\",style:{aspectRatio:\"2898 / 438\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"302\",src:\"https://framerusercontent.com/images/S3wE2oiedBUoRL04JAUVsd27RW4.png\",srcSet:\"https://framerusercontent.com/images/S3wE2oiedBUoRL04JAUVsd27RW4.png?scale-down-to=512 512w,https://framerusercontent.com/images/S3wE2oiedBUoRL04JAUVsd27RW4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/S3wE2oiedBUoRL04JAUVsd27RW4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/S3wE2oiedBUoRL04JAUVsd27RW4.png 2894w\",style:{aspectRatio:\"2894 / 604\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/ewuHxn3RI1zCAK7v828QCtKQwUE.png\",srcSet:\"https://framerusercontent.com/images/ewuHxn3RI1zCAK7v828QCtKQwUE.png?scale-down-to=512 512w,https://framerusercontent.com/images/ewuHxn3RI1zCAK7v828QCtKQwUE.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/ewuHxn3RI1zCAK7v828QCtKQwUE.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/ewuHxn3RI1zCAK7v828QCtKQwUE.png 2898w\",style:{aspectRatio:\"2898 / 606\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"300\",src:\"https://framerusercontent.com/images/O3PCbV60AwFnksmMKZS0dQSb7kk.png\",srcSet:\"https://framerusercontent.com/images/O3PCbV60AwFnksmMKZS0dQSb7kk.png?scale-down-to=512 512w,https://framerusercontent.com/images/O3PCbV60AwFnksmMKZS0dQSb7kk.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/O3PCbV60AwFnksmMKZS0dQSb7kk.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/O3PCbV60AwFnksmMKZS0dQSb7kk.png 2894w\",style:{aspectRatio:\"2894 / 600\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"217\",src:\"https://framerusercontent.com/images/i2jpEIudepQunBt8DoX8N9oBJ0k.png\",srcSet:\"https://framerusercontent.com/images/i2jpEIudepQunBt8DoX8N9oBJ0k.png?scale-down-to=512 512w,https://framerusercontent.com/images/i2jpEIudepQunBt8DoX8N9oBJ0k.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/i2jpEIudepQunBt8DoX8N9oBJ0k.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/i2jpEIudepQunBt8DoX8N9oBJ0k.png 2894w\",style:{aspectRatio:\"2894 / 434\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"222\",src:\"https://framerusercontent.com/images/2gkh0FieECoPq41PICkEuwrT8YM.png\",srcSet:\"https://framerusercontent.com/images/2gkh0FieECoPq41PICkEuwrT8YM.png?scale-down-to=512 512w,https://framerusercontent.com/images/2gkh0FieECoPq41PICkEuwrT8YM.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/2gkh0FieECoPq41PICkEuwrT8YM.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/2gkh0FieECoPq41PICkEuwrT8YM.png 2896w\",style:{aspectRatio:\"2896 / 444\"},width:\"1448\"}),/*#__PURE__*/e(\"h2\",{children:\"Human-centered AI for the Future of Work\"}),/*#__PURE__*/e(\"p\",{children:\"In recent years, there has been growing interest in human-centered artificial intelligence (AI) systems that can enhance the well-being of workers and improve their job performance. This talk will explore the concept of human-centered AI and how to apply it in the workplace to promote worker empowerment, creativity, and productivity.\"}),/*#__PURE__*/e(\"p\",{children:\"We'll cover:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"The potential benefits and challenges of implementing human-centered AI systems in different industries and work settings.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Examples from research and industry illustrating the importance of incorporating worker perspectives and needs in the design and development of AI technologies.\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Ethical and social implications of human-centered AI, including issues related to privacy, bias, and transparency.\"})})]}),/*#__PURE__*/e(\"p\",{children:\"The ultimate goal of this talk is to foster a deeper understanding of the potential of human-centered AI to enhance the lives and work experiences of employees in a variety of industries and sectors.\"}),/*#__PURE__*/e(\"h2\",{children:\"Intro to Crowdsourcing with Toloka\"}),/*#__PURE__*/e(\"p\",{children:\"As companies go through different stages of data maturity, their needs for data and ways of fulfilling them may change at every step. This introduction will demonstrate how to build crowdsourcing projects to guarantee high-quality results. We'll use the Toloka data labeling platform as an example with real projects. We'll also look at the advantages you can gain from crowdsourcing compared to other ways of collecting and labeling data.\"}),/*#__PURE__*/e(\"h2\",{children:\"Innovation capabilities of Generative AI for Materials Scientists\"}),/*#__PURE__*/e(\"p\",{children:\"The talk explores the potential of generative AI in enhancing innovation capabilities for materials scientists. It discusses how AI can assist in the design and discovery of new materials, and how it can improve the efficiency of the materials discovery process. The talk also highlights some of the challenges and limitations associated with the use of generative AI in materials science.\"}),/*#__PURE__*/e(\"h2\",{children:\"Panel discussion on Human-AI Collaborations\"})]});export const richText30=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/jsfeJzjAEmw\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/A2OZgtdf0oY\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/qwbVaPvBPUw\"})})})]});export const richText31=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Beyond the mainstream:\\xa0NLP solutions in the age of LLMs\"}),/*#__PURE__*/e(\"img\",{alt:\"Image\",className:\"framer-image\",height:\"80\",src:\"https://framerusercontent.com/images/J98S8hoVHmkObvTf49ZiO8iVOg.jpeg\",srcSet:\"https://framerusercontent.com/images/J98S8hoVHmkObvTf49ZiO8iVOg.jpeg?scale-down-to=512 512w,https://framerusercontent.com/images/J98S8hoVHmkObvTf49ZiO8iVOg.jpeg?scale-down-to=1024 1024w,https://framerusercontent.com/images/J98S8hoVHmkObvTf49ZiO8iVOg.jpeg?scale-down-to=2048 2048w,https://framerusercontent.com/images/J98S8hoVHmkObvTf49ZiO8iVOg.jpeg 2400w\",style:{aspectRatio:\"2400 / 160\"},width:\"1200\"}),/*#__PURE__*/e(\"p\",{children:\"Language-related technological solutions have the potential to solve a plethora of problems in our everyday lives. At this event, we will dive into the challenges surrounding NLP in the age of Large Language Models (LLMs).\"}),/*#__PURE__*/e(\"p\",{children:\"We'll look at:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"The role of human input in different languages;\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Acquiring and deploying LLMs at scale;\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Paving a path towards an equitable and inclusive future.\"})})]}),/*#__PURE__*/e(\"p\",{children:\"Through invited talks, we will go beyond mainstream, everyday solutions to explore novel opportunities and dazzling possibilities that state-of-the-art NLP tools can offer. Join this event to engage with complex questions and draw valuable insights from experts in the industry at the forefront of these technologies.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Target audience:\"}),\" This meetup will be relevant to ML engineers, researchers, data scientists, and anyone interacting with AI. Content is geared toward an audience with intermediate experience in AI.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Agenda\"}),/*#__PURE__*/e(\"p\",{children:\"* The time is indicated in Bangalore time zone (GMT+5:30)\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"222\",src:\"https://framerusercontent.com/images/g4XG520q5oKnz1Va3lGS74Bwjhw.png\",srcSet:\"https://framerusercontent.com/images/g4XG520q5oKnz1Va3lGS74Bwjhw.png?scale-down-to=512 512w,https://framerusercontent.com/images/g4XG520q5oKnz1Va3lGS74Bwjhw.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/g4XG520q5oKnz1Va3lGS74Bwjhw.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/g4XG520q5oKnz1Va3lGS74Bwjhw.png 2898w\",style:{aspectRatio:\"2898 / 444\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/3aKNA6Q30Hq0OpMgjB4xIJymN4.png\",srcSet:\"https://framerusercontent.com/images/3aKNA6Q30Hq0OpMgjB4xIJymN4.png?scale-down-to=512 512w,https://framerusercontent.com/images/3aKNA6Q30Hq0OpMgjB4xIJymN4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/3aKNA6Q30Hq0OpMgjB4xIJymN4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/3aKNA6Q30Hq0OpMgjB4xIJymN4.png 2896w\",style:{aspectRatio:\"2896 / 606\"},width:\"1448\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"220\",src:\"https://framerusercontent.com/images/dJCPjHKNDqfG0WokCscGAlNORM.png\",srcSet:\"https://framerusercontent.com/images/dJCPjHKNDqfG0WokCscGAlNORM.png?scale-down-to=512 512w,https://framerusercontent.com/images/dJCPjHKNDqfG0WokCscGAlNORM.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/dJCPjHKNDqfG0WokCscGAlNORM.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/dJCPjHKNDqfG0WokCscGAlNORM.png 2896w\",style:{aspectRatio:\"2896 / 440\"},width:\"1448\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"302\",src:\"https://framerusercontent.com/images/IzxfcABX1zGaY3JV5emsLw41sA.png\",srcSet:\"https://framerusercontent.com/images/IzxfcABX1zGaY3JV5emsLw41sA.png?scale-down-to=512 512w,https://framerusercontent.com/images/IzxfcABX1zGaY3JV5emsLw41sA.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/IzxfcABX1zGaY3JV5emsLw41sA.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/IzxfcABX1zGaY3JV5emsLw41sA.png 2894w\",style:{aspectRatio:\"2894 / 604\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"215\",src:\"https://framerusercontent.com/images/rpXBfT8ngszNE2ZaKhyjrfPL2yo.png\",srcSet:\"https://framerusercontent.com/images/rpXBfT8ngszNE2ZaKhyjrfPL2yo.png?scale-down-to=512 512w,https://framerusercontent.com/images/rpXBfT8ngszNE2ZaKhyjrfPL2yo.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/rpXBfT8ngszNE2ZaKhyjrfPL2yo.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/rpXBfT8ngszNE2ZaKhyjrfPL2yo.png 2902w\",style:{aspectRatio:\"2902 / 430\"},width:\"1451\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"301\",src:\"https://framerusercontent.com/images/cp4BoHAsmpYGMTpkXVTVZHbn8.png\",srcSet:\"https://framerusercontent.com/images/cp4BoHAsmpYGMTpkXVTVZHbn8.png?scale-down-to=512 512w,https://framerusercontent.com/images/cp4BoHAsmpYGMTpkXVTVZHbn8.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/cp4BoHAsmpYGMTpkXVTVZHbn8.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/cp4BoHAsmpYGMTpkXVTVZHbn8.png 2898w\",style:{aspectRatio:\"2898 / 602\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"222\",src:\"https://framerusercontent.com/images/wEMDMLo4ezcIODPdWI15oBnrBAU.png\",srcSet:\"https://framerusercontent.com/images/wEMDMLo4ezcIODPdWI15oBnrBAU.png?scale-down-to=512 512w,https://framerusercontent.com/images/wEMDMLo4ezcIODPdWI15oBnrBAU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/wEMDMLo4ezcIODPdWI15oBnrBAU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/wEMDMLo4ezcIODPdWI15oBnrBAU.png 2898w\",style:{aspectRatio:\"2898 / 444\"},width:\"1449\"}),/*#__PURE__*/e(\"h2\",{children:\"Does one size fit all or is there a need for domain-specific LLMs?\"}),/*#__PURE__*/e(\"p\",{children:\"Massive-sized generic models such as GPTs, Bard, PaLM and others trained on a large generic corpus have shown exceptional promise and behavior beyond what they were originally designed for. GPT-4 is able to tackle multimodal information and can also perform complex reasoning using chain-of-thought. So what happens when these generic models meet highly specific industry vertical requirements? Can they perform the same way they do for other tasks?\"}),/*#__PURE__*/e(\"p\",{children:\"We see numerous experimentations being performed with LLMs trained on domain-specific corpuses such as finance, medicine, legal, education, etc. These models are smaller in size (of the order of 50 B parameters) but trained on a much larger number of tokens than the generic models (compared to their parameter sizes). They have been consistently showing better performance than the generic models (which are 5-10x their sizes) on these industry-specific tasks. So should every industry vertical have a domain-specific model or are generic models good enough? What are the cost-performance tradeoffs? I will also share some thoughts on how the education industry, where we work, can possibly benefit from the best of both these worlds.\"}),/*#__PURE__*/e(\"h2\",{children:\"Scaling challenges of LLMs\"}),/*#__PURE__*/e(\"p\",{children:\"LLMs have seemingly super-human capability that is magical and scary at the same time. Does that mean we have solved the problem of language understanding? Besides several theoretical and philosophical problems of LLMs, these models also face fundamental scaling challenges. In this talk, I will discuss three such challenges \u2013 deployment at scale, the related responsible AI issues, and serving the next 1000 languages. These are solvable, yet long-term problems which will require us to rethink the design strategies for LLM-based applications.\"}),/*#__PURE__*/e(\"h2\",{children:\"Low-resource, high-impact: Modern NLP solutions for under-resourced languages\"}),/*#__PURE__*/e(\"p\",{children:\"None of the languages are equal until all of the languages are. In this session, we'll consider low-resourced languages and their significance in NLP, outlining the unique challenges that low-resourced NLP faces. We will examine a current state of a field; discuss the effectiveness of LLMs and the risks they entail, juxtaposing this in the context of languages other than English. We'll propose innovative approaches to tackle modern low-resourced NLP challenges based on harnessing the power of crowdsourcing.\"})]});export const richText32=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/bAYV2d0CBHk\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/7Go_2v_fmOM\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/A7lYVRzYke0\"})})})]});export const richText33=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Crowdsourcing for Information Retrieval\"}),/*#__PURE__*/e(\"p\",{children:\"In our tutorial, we will share more than six years of our crowdsourcing experience and bridge the gap between human-in-the-loop and information retrieval communities by showing how one can incorporate human-in-the-loop into their retrieval system to gather the real human feedback on the model predictions. Most of the tutorial time is devoted to a hands-on practice, when the attendees will, under our guidance, implement an end-to-end process for information retrieval from problem statement and data labeling to machine learning model training and evaluation.\"}),/*#__PURE__*/e(\"p\",{children:\"Our learning objectives are:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"to teach how to apply human-in-the-loop pipelines with crowdsourcing to address information retrieval problems\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"to improve the attendees data labeling and machine learning skills on a real problem related to information retrieval, namely, a query intent classification task, by annotating data and training a machine learning model\"})}),/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/e(\"p\",{children:\"to introduce the mathematical methods and their open-source implementations to increase the annotation quality and the accuracy of the learned model without additional labeling\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"br\",{className:\"trailing-break\"})})]})]}),/*#__PURE__*/e(\"p\",{children:\"Agenda\"}),/*#__PURE__*/e(\"p\",{children:\"* The time is indicated in Irish Standard Time (IST, UTC+01:00)\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"220\",src:\"https://framerusercontent.com/images/OS7cqKDeJ7Y33yKjHIcRwEnB5s.png\",srcSet:\"https://framerusercontent.com/images/OS7cqKDeJ7Y33yKjHIcRwEnB5s.png?scale-down-to=512 512w,https://framerusercontent.com/images/OS7cqKDeJ7Y33yKjHIcRwEnB5s.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/OS7cqKDeJ7Y33yKjHIcRwEnB5s.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/OS7cqKDeJ7Y33yKjHIcRwEnB5s.png 2890w\",style:{aspectRatio:\"2890 / 440\"},width:\"1445\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"302\",src:\"https://framerusercontent.com/images/fQgqq13DchkrflpXqkMzI2OfvgE.png\",srcSet:\"https://framerusercontent.com/images/fQgqq13DchkrflpXqkMzI2OfvgE.png?scale-down-to=512 512w,https://framerusercontent.com/images/fQgqq13DchkrflpXqkMzI2OfvgE.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/fQgqq13DchkrflpXqkMzI2OfvgE.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/fQgqq13DchkrflpXqkMzI2OfvgE.png 2894w\",style:{aspectRatio:\"2894 / 604\"},width:\"1447\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"302\",src:\"https://framerusercontent.com/images/zvq5X33iTmyAbRzCjJLgZEAfg.png\",srcSet:\"https://framerusercontent.com/images/zvq5X33iTmyAbRzCjJLgZEAfg.png?scale-down-to=512 512w,https://framerusercontent.com/images/zvq5X33iTmyAbRzCjJLgZEAfg.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/zvq5X33iTmyAbRzCjJLgZEAfg.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/zvq5X33iTmyAbRzCjJLgZEAfg.png 2898w\",style:{aspectRatio:\"2898 / 604\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"302\",src:\"https://framerusercontent.com/images/lcAY3eKVixlcBBT2UTJoaXmaegw.png\",srcSet:\"https://framerusercontent.com/images/lcAY3eKVixlcBBT2UTJoaXmaegw.png?scale-down-to=512 512w,https://framerusercontent.com/images/lcAY3eKVixlcBBT2UTJoaXmaegw.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/lcAY3eKVixlcBBT2UTJoaXmaegw.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/lcAY3eKVixlcBBT2UTJoaXmaegw.png 2898w\",style:{aspectRatio:\"2898 / 604\"},width:\"1449\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"223\",src:\"https://framerusercontent.com/images/gE7pTpKFuYZhzMuPuaaOloJGjuk.png\",srcSet:\"https://framerusercontent.com/images/gE7pTpKFuYZhzMuPuaaOloJGjuk.png?scale-down-to=512 512w,https://framerusercontent.com/images/gE7pTpKFuYZhzMuPuaaOloJGjuk.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/gE7pTpKFuYZhzMuPuaaOloJGjuk.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/gE7pTpKFuYZhzMuPuaaOloJGjuk.png 2896w\",style:{aspectRatio:\"2896 / 446\"},width:\"1448\"}),/*#__PURE__*/e(\"h2\",{children:\"Crowdsourcing essentials\"}),/*#__PURE__*/e(\"p\",{children:\"In this part, we will discuss quality control techniques. We will talk about the approaches that are applicable before task performance (selection of annotators, training of annotators, and exam tasks), the ones applicable during task performance (golden tasks, motivation of annotators, tricks to remove bots and cheaters), and approaches applicable after task performance (post verification/acceptance, inter-annotator agreement). We will share best practices, including critical aspects and pitfalls when designing instructions and interfaces for annotators, vital settings in different types of templates, training and examination for annotators selection, pipelines for evaluating the labeling process.\"}),/*#__PURE__*/e(\"h2\",{children:\"Hands-on practice session\"}),/*#__PURE__*/t(\"p\",{children:[\"We will conduct a hands-on practice session, which is the vital and the longest part of our tutorial. We will encourage the attendees to apply the techniques and best practices learned during the first part of the tutorial. For this purpose, we will let the attendees run their own crowdsourcing project for intent classification for the conversational agents on real crowd annotators. As the input for the crowdsourcing project the attendees will have search queries from the Web. The output of the project will be intent classes for each search query. We will use the\\xa0\",/*#__PURE__*/e(a,{href:\"https://github.com/clinc/oos-eval\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"CLINC150 dataset\"})}),\"\\xa0for the practice.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Learning from crowds\"}),/*#__PURE__*/e(\"p\",{children:\"In this part, we will describe how to process the raw labels obtained from the crowdsourcing marketplace and transform them into knowledge suitable for a downstream human-in-the-loop application. Since in crowdsourcing every object has multiple labels provided by different annotators, we will consider a few popular answer aggregation models in crowdsourcing, including methods for aggregating categorical responses (Dawid-Skene, GLAD, etc.) and recent methods for deep learning from crowds (CrowdLayer, CoNAL, etc.).\"}),/*#__PURE__*/t(\"p\",{children:[\"We will present\\xa0\",/*#__PURE__*/e(a,{href:\"https://github.com/Toloka/crowd-kit\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Crowd-Kit\"})}),\", an open-source Python library implementing all these methods. We will put a special attention to the Crowd-Kit Learning module for training a complete deep learning model from crowdsourced data without an extra aggregation step.\"]}),/*#__PURE__*/e(\"h2\",{children:\"Materials & slides\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/ecir-2023/introduction.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Introduction\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/ecir-2023/crowdsourcing-essentials.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Crowdsourcing essentials\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/ecir-2023/hands-on-practice.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Hands-on practice session\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/ecir-2023/practice-manual.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Hands-on practice manual\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(a,{href:\"https://tlkfrontprod.azureedge.net/portal-production/static/files/conference-presentations/ecir-2023/learning-from-crowds.pdf\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Learning from crowds\"})})}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(a,{href:\"https://github.com/Toloka/crowd-kit/blob/main/examples/ECIR2023-Intents.ipynb\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Learning from crowds: Code examples\"})}),\" \"]})]});export const richText34=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Next-level ecommerce:\\xa0A winning formula to surpass your competitors\"}),/*#__PURE__*/e(\"p\",{children:\"As consumer spend becomes harder to win, search quality and recommendations in ecommerce are becoming more important than ever. So how can you stay ahead of the competition?\"}),/*#__PURE__*/e(\"p\",{children:\"In this session, we are joined by Turkey's leading ecommerce retailer to discuss how using a blend of machine learning alongside human insight has improved its search results and the overall impact this has had on the business.\"}),/*#__PURE__*/e(\"p\",{children:\"We'll explore:\"}),/*#__PURE__*/t(\"ul\",{style:{\"--framer-font-size\":\"18px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(30, 33, 38)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"When 20%+ of sales depends on the quality of product search, why a happy marriage of machine and human insight is key to achieving accuracy\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How to dominate over competitors \u2013 key learnings from Turkey's leading ecommerce retailer\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"How to adopt the right machine learning solution for your business\"})})]})]});export const richText35=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/l7C3eb9yLfE\"})})})});export const richText36=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"p\",{children:\"AI brings unprecedented opportunities to businesses, but it comes with an incredible responsibility. During this event, experts from the industry will sit down to talk about best practices for Responsible AI and how to make your data-driven business ethical and safe. Join us to examine practical approaches to building and managing Responsible AI in the real world.\"}),/*#__PURE__*/e(\"p\",{children:\"We welcome data scientists, researchers, ML engineers, and anyone who interacts with AI. Content is geared toward an audience with an intermediate level of AI experience. Snacks and drinks are provided.\"}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Format:\"}),\" Hybrid (both online and offline)\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/jnu4NFdUgbLopPy18\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Mindspace\"})}),\", 1301 K St NW, Washington, DC\"]}),/*#__PURE__*/e(\"p\",{children:\"* Time is indicated in the Washington time zone (EDT, UTC-04)\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"222\",src:\"https://framerusercontent.com/images/cg6wmpQ3j0gzy4C8uZcIwEGfOmU.png\",srcSet:\"https://framerusercontent.com/images/cg6wmpQ3j0gzy4C8uZcIwEGfOmU.png?scale-down-to=512 512w,https://framerusercontent.com/images/cg6wmpQ3j0gzy4C8uZcIwEGfOmU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/cg6wmpQ3j0gzy4C8uZcIwEGfOmU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/cg6wmpQ3j0gzy4C8uZcIwEGfOmU.png 2850w\",style:{aspectRatio:\"2850 / 444\"},width:\"1425\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"218\",src:\"https://framerusercontent.com/images/luQMeO46JwQijcmWmAAWGCewU.png\",srcSet:\"https://framerusercontent.com/images/luQMeO46JwQijcmWmAAWGCewU.png?scale-down-to=512 512w,https://framerusercontent.com/images/luQMeO46JwQijcmWmAAWGCewU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/luQMeO46JwQijcmWmAAWGCewU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/luQMeO46JwQijcmWmAAWGCewU.png 2854w\",style:{aspectRatio:\"2854 / 436\"},width:\"1427\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/n0zVDsQwVUWOIOKZCPEQ1rJTVsU.png\",srcSet:\"https://framerusercontent.com/images/n0zVDsQwVUWOIOKZCPEQ1rJTVsU.png?scale-down-to=512 512w,https://framerusercontent.com/images/n0zVDsQwVUWOIOKZCPEQ1rJTVsU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/n0zVDsQwVUWOIOKZCPEQ1rJTVsU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/n0zVDsQwVUWOIOKZCPEQ1rJTVsU.png 2854w\",style:{aspectRatio:\"2854 / 606\"},width:\"1427\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/NSrA2U3SqTVYXpa1KoMV8SGFWLc.png\",srcSet:\"https://framerusercontent.com/images/NSrA2U3SqTVYXpa1KoMV8SGFWLc.png?scale-down-to=512 512w,https://framerusercontent.com/images/NSrA2U3SqTVYXpa1KoMV8SGFWLc.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/NSrA2U3SqTVYXpa1KoMV8SGFWLc.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/NSrA2U3SqTVYXpa1KoMV8SGFWLc.png 2852w\",style:{aspectRatio:\"2852 / 606\"},width:\"1426\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/gLboEsxmyRA10u3WwfiJUuiYyc.png\",srcSet:\"https://framerusercontent.com/images/gLboEsxmyRA10u3WwfiJUuiYyc.png?scale-down-to=512 512w,https://framerusercontent.com/images/gLboEsxmyRA10u3WwfiJUuiYyc.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/gLboEsxmyRA10u3WwfiJUuiYyc.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/gLboEsxmyRA10u3WwfiJUuiYyc.png 2854w\",style:{aspectRatio:\"2854 / 438\"},width:\"1427\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"218\",src:\"https://framerusercontent.com/images/JsldqOKlSJnkOY2Kw7udS32zY.png\",srcSet:\"https://framerusercontent.com/images/JsldqOKlSJnkOY2Kw7udS32zY.png?scale-down-to=512 512w,https://framerusercontent.com/images/JsldqOKlSJnkOY2Kw7udS32zY.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/JsldqOKlSJnkOY2Kw7udS32zY.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/JsldqOKlSJnkOY2Kw7udS32zY.png 2858w\",style:{aspectRatio:\"2858 / 436\"},width:\"1429\"}),/*#__PURE__*/e(\"p\",{children:\"Keep Your RSVPs Updated! If your plans change, please change your RSVP accordingly. No-shows make planning harder and may prevent others from attending the event. We will have free drinks and snacks ready for you! See you there! \"}),/*#__PURE__*/e(\"h2\",{children:\"AI governance at scale\"}),/*#__PURE__*/e(\"p\",{children:\"As organizations are looking to embed AI into every aspect of their operations, this talk will cover strategies at the intersection of technical and policy controls to enable organizations to adopt AI safely at scale.\"}),/*#__PURE__*/e(\"h2\",{children:\"Trust and safety challenges of AI-generated images\"}),/*#__PURE__*/e(\"p\",{children:\"This talk will cover some core safety challenges associated with AI-generated images broadly, such as difficulties with content moderation, photorealism and adversarial abuse, open sourcing, and biases in AI-generated images. We'll also touch on solutions and mitigations such as watermarking, using safer training data, and assessing model capabilities respective to different kinds of content.\"}),/*#__PURE__*/e(\"h2\",{children:\"Panel discussion on Responsible AI\"}),/*#__PURE__*/e(\"p\",{children:\"Experts from Microsoft, OpenAI and Google will answer questions about responsible AI and share best practices on how to drive your business with safe and ethical AI. The discussion will be moderated by a representative from Toloka, with time for questions from the audience at the end. \"}),/*#__PURE__*/e(\"p\",{children:\"Rachel Azafrani is an AI ethicist and international advocate for the responsible development and deployment of emerging technologies. She is an advisor to international organizations, governments, the Fortune 100, research institutes, and publications such as The Economist. Rachel holds an MSc in Social Science of the Internet with Distinction from the University of Oxford and a BSFS magna cum laude in International Political Economy from Georgetown University.\"}),/*#__PURE__*/e(\"p\",{children:\"Mona M previously worked for Amazon Web Services as a Senior AI/ML Specialist Solutions Architect. She is a highly skilled IT professional with more than 10 years of experience in AI/ML. The author of two books, she is also a frequent speaker at multiple conferences such as ISMB 2022, AWS Re:Invent 2020,2019,2018 and AWS DC Summit.\"}),/*#__PURE__*/e(\"p\",{children:\"Rosmi heads the Customer Success team at Toloka, where she works to ensure that all Toloka clients are getting as much value as they can out of the product. She is also a seasoned Product Manager experienced with e-commerce, ed-tech, and marketing platforms. She has a background in Information Technology and Data Science, with an MBA from Nanyang Technological University.\"}),/*#__PURE__*/e(\"p\",{children:\"Bilva Chandra currently works at OpenAI on Product Safety for DALL-E, OpenAI's AI-image generator. Her primary line of work focuses on how to scale enforcement and detection guided by content policy and determine mitigations for product safety gaps. Prior to OpenAI, Bilva worked on LinkedIn's threat intelligence team, focusing on disinformation and influence operations investigations, and also had the opportunity to develop content policies on election integrity and dangerous organizations. She also serves as the Global Ambassador for Digital Peace Now, a non-profit organization that aims to increase awareness about cyberattacks and promote digital peace. Bilva's pieces on AI have been published by the Modern Warfare Institute and the Strategy Bridge in the past, and she has also spoken about AI, content moderation, and disinformation on several panels/events (Georgetown Security Studies Review, US Army Mad Scientist Initiative, Zignal Labs panel, etc). She obtained her MA from the Georgetown Security Studies Program (SSP), concentrating in Technology & Security, and her BS from Georgetown's Walsh School of Foreign Service, majoring in International Politics with a Certificate in Diplomatic Studies.\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"em\",{children:\"Please note that speakers and participants express their personal opinions and do not represent their employers at this event. \"})})]});export const richText37=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/U3U8EaYQsrY\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/rkfbpdh9Cxw\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/kGqkj21KTyA\"})})})]});export const richText38=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/t(\"p\",{children:[\"Crowdsourcing has been used to produce impactful and large-scale datasets for Machine Learning and Artificial Intelligence (AI), such as \",/*#__PURE__*/e(a,{href:\"https://image-net.org/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"ImageNET\"})}),\",\\xa0\",/*#__PURE__*/e(a,{href:\"https://super.gluebenchmark.com/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"SuperGLUE\"})}),\", etc. Since the rise of\\xa0\",/*#__PURE__*/e(a,{href:\"https://toloka.ai/knowledgebase/crowdsourcing-concepts/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"crowdsourcing\"})}),\"\\xa0in the early 2000s, the AI\\xa0\",/*#__PURE__*/e(a,{href:\"https://toloka.ai/community/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"community\"})}),\"\\xa0has been studying its computational, system design, and data-centric aspects at various angles at such workshops as\\xa0\",/*#__PURE__*/e(a,{href:\"https://web.archive.org/web/20220701005932/https://crowdscience.ai/conference_events/chi22\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"CSS\"})}),\", \",/*#__PURE__*/e(a,{href:\"https://crowdml.cc/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"CrowdML\"})}),\",\\xa0\",/*#__PURE__*/e(a,{href:\"https://datacentricai.org/neurips21/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"DCAI\"})}),\", and\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.icml-hill.com/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"HILL\"})}),\".\"]}),/*#__PURE__*/e(\"p\",{children:\"We welcome studies on developing and enhancing crowdworker-centric tools that offer task matching, requester assessment, and instruction validation, among other topics. We are also interested in exploring methods that leverage crowdworkers as a resource for improving the recognition and performance of machine learning models. Thus, we invite studies of active learning techniques, methods for joint learning from noisy data and from crowds, novel approaches for crowd-computer interaction, repetitive task automation, and role separation between humans and machines. Moreover, we invite works on designing and applying such techniques in various domains, including e-commerce and medicine. \"}),/*#__PURE__*/e(\"h2\",{children:\"Agenda\"}),/*#__PURE__*/e(\"p\",{children:\"* The time is indicated in Singapore time zone (UTC+08)   \"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/s8wUh5XP8ifHFDJHmgDfds7Z3eA.png\",srcSet:\"https://framerusercontent.com/images/s8wUh5XP8ifHFDJHmgDfds7Z3eA.png?scale-down-to=512 512w,https://framerusercontent.com/images/s8wUh5XP8ifHFDJHmgDfds7Z3eA.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/s8wUh5XP8ifHFDJHmgDfds7Z3eA.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/s8wUh5XP8ifHFDJHmgDfds7Z3eA.png 3008w\",style:{aspectRatio:\"3008 / 438\"},width:\"1504\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/RlNKM31eQMobaIa5TUJDs7gzzM.png\",srcSet:\"https://framerusercontent.com/images/RlNKM31eQMobaIa5TUJDs7gzzM.png?scale-down-to=512 512w,https://framerusercontent.com/images/RlNKM31eQMobaIa5TUJDs7gzzM.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/RlNKM31eQMobaIa5TUJDs7gzzM.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/RlNKM31eQMobaIa5TUJDs7gzzM.png 3010w\",style:{aspectRatio:\"3010 / 606\"},width:\"1505\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/34P1SzE01HxSKShqtnqkre2vU.png\",srcSet:\"https://framerusercontent.com/images/34P1SzE01HxSKShqtnqkre2vU.png?scale-down-to=512 512w,https://framerusercontent.com/images/34P1SzE01HxSKShqtnqkre2vU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/34P1SzE01HxSKShqtnqkre2vU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/34P1SzE01HxSKShqtnqkre2vU.png 3012w\",style:{aspectRatio:\"3012 / 606\"},width:\"1506\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"218\",src:\"https://framerusercontent.com/images/7u8UEdPEhR8DaRFSbjt2nCmG9nc.png\",srcSet:\"https://framerusercontent.com/images/7u8UEdPEhR8DaRFSbjt2nCmG9nc.png?scale-down-to=512 512w,https://framerusercontent.com/images/7u8UEdPEhR8DaRFSbjt2nCmG9nc.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/7u8UEdPEhR8DaRFSbjt2nCmG9nc.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/7u8UEdPEhR8DaRFSbjt2nCmG9nc.png 3008w\",style:{aspectRatio:\"3008 / 436\"},width:\"1504\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"218\",src:\"https://framerusercontent.com/images/V3UtQwvkVJ2mmnWEHqs0PgD1xb4.png\",srcSet:\"https://framerusercontent.com/images/V3UtQwvkVJ2mmnWEHqs0PgD1xb4.png?scale-down-to=512 512w,https://framerusercontent.com/images/V3UtQwvkVJ2mmnWEHqs0PgD1xb4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/V3UtQwvkVJ2mmnWEHqs0PgD1xb4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/V3UtQwvkVJ2mmnWEHqs0PgD1xb4.png 3010w\",style:{aspectRatio:\"3010 / 436\"},width:\"1505\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/fV29bIj9uf6r5q8QFLErVx6Ap0.png\",srcSet:\"https://framerusercontent.com/images/fV29bIj9uf6r5q8QFLErVx6Ap0.png?scale-down-to=512 512w,https://framerusercontent.com/images/fV29bIj9uf6r5q8QFLErVx6Ap0.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/fV29bIj9uf6r5q8QFLErVx6Ap0.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/fV29bIj9uf6r5q8QFLErVx6Ap0.png 3010w\",style:{aspectRatio:\"3010 / 606\"},width:\"1505\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"303\",src:\"https://framerusercontent.com/images/M1pgZZNmbxsEPawlPqZjFWe45w.png\",srcSet:\"https://framerusercontent.com/images/M1pgZZNmbxsEPawlPqZjFWe45w.png?scale-down-to=512 512w,https://framerusercontent.com/images/M1pgZZNmbxsEPawlPqZjFWe45w.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/M1pgZZNmbxsEPawlPqZjFWe45w.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/M1pgZZNmbxsEPawlPqZjFWe45w.png 3006w\",style:{aspectRatio:\"3006 / 606\"},width:\"1503\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"255\",src:\"https://framerusercontent.com/images/NOSQOdWHzTUZ4mC2hDpZsJv3o.png\",srcSet:\"https://framerusercontent.com/images/NOSQOdWHzTUZ4mC2hDpZsJv3o.png?scale-down-to=512 512w,https://framerusercontent.com/images/NOSQOdWHzTUZ4mC2hDpZsJv3o.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/NOSQOdWHzTUZ4mC2hDpZsJv3o.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/NOSQOdWHzTUZ4mC2hDpZsJv3o.png 3008w\",style:{aspectRatio:\"3008 / 510\"},width:\"1504\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"254\",src:\"https://framerusercontent.com/images/qKwIrzuE4SWJtRptDx78LLlLOQE.png\",srcSet:\"https://framerusercontent.com/images/qKwIrzuE4SWJtRptDx78LLlLOQE.png?scale-down-to=512 512w,https://framerusercontent.com/images/qKwIrzuE4SWJtRptDx78LLlLOQE.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/qKwIrzuE4SWJtRptDx78LLlLOQE.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/qKwIrzuE4SWJtRptDx78LLlLOQE.png 3010w\",style:{aspectRatio:\"3010 / 508\"},width:\"1505\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"218\",src:\"https://framerusercontent.com/images/EI21J4S4ukolgK0Sf7yGbDizubo.png\",srcSet:\"https://framerusercontent.com/images/EI21J4S4ukolgK0Sf7yGbDizubo.png?scale-down-to=512 512w,https://framerusercontent.com/images/EI21J4S4ukolgK0Sf7yGbDizubo.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/EI21J4S4ukolgK0Sf7yGbDizubo.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/EI21J4S4ukolgK0Sf7yGbDizubo.png 3012w\",style:{aspectRatio:\"3012 / 436\"},width:\"1506\"}),/*#__PURE__*/e(\"p\",{children:\"  \"})]});export const richText39=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overcoming scaling challenges for complex systems with Toloka\"}),/*#__PURE__*/e(\"p\",{children:\"Toloka's crowdsourcing platform unites the individual efforts of millions of people around the world to label and process data for clients. The results are used in machine learning, research, software testing, technical support, content moderation, and other tasks.\"}),/*#__PURE__*/e(\"p\",{children:'Toloka\\'s backend is a complex service for managing a huge \"computing cluster\", where people performing tasks act as nodes.'}),/*#__PURE__*/e(\"p\",{children:'Artem will describe how we work out the problem of managing the \"cluster\" using the mechanism responsible for creating a list of available tasks for each Toloker (crowd worker).'}),/*#__PURE__*/e(\"p\",{children:\"He'll share three stories about developing various parts of the system. You'll also hear about the challenges we faced while scaling and how we solved them.\"}),/*#__PURE__*/e(\"h2\",{children:\"When & where\"}),/*#__PURE__*/t(\"p\",{children:[\"DeveloperWeek is the largest developer conference & event series including the DeveloperWeek Conference & Expo, 1,000+ attendee hackathon, 800+ attendee tech hiring expo, and a series of workshops, technical talks, and keynotes.\",/*#__PURE__*/e(\"br\",{}),\"You can find more info on the\\xa0\",/*#__PURE__*/e(a,{href:\"https://www.developerweek.com/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dates:\"}),/*#__PURE__*/e(\"br\",{}),\"Feb 15 \u2013 17, 2023:\\xa0\",/*#__PURE__*/e(a,{href:\"https://goo.gl/maps/rg461HstTfPisCa86\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"Oakland Convention Center\"})}),\", 550 10th St, Oakland, CA 94607, United States (live event)\",/*#__PURE__*/e(\"br\",{}),\"Feb 21 \u2013 23, 2023: DeveloperWeek will be hosted virtually on the Hopin Platform (online)\"]})]});export const richText40=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/w9hSPa_kXkM\"})})})});export const richText41=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Power to the People:\\xa0How Crowdsourcing can Democratize LLMs\"}),/*#__PURE__*/e(\"p\",{children:\"In this talk, we discuss several gaping problems of modern LLMs that became particularly salient after the release of ChatGPT.\"}),/*#__PURE__*/e(\"p\",{children:\"How can we make models like ChatGPT truly multilingual? We discuss a set of performance evaluation experiments and the discrepancies between the distribution of languages in the training data and the distribution of languages in terms of their native speakers across the globe. We illustrate how crowdsourcing can amend these challenges using the example of WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages.\"}),/*#__PURE__*/e(\"p\",{children:\"Another question we have to answer is how LLMs can work in narrow hands-on applications reliably and ethically. With a series of experiments with LLMs and multimodal generative models, we try to illustrate how modern crowdsourcing can facilitate prompt engineering and even assist in fine-tuning a model for a more narrow use case. Finally, we discuss the demand for more skilled and committed data labelers that arises as LLMs get broader adoption.\"}),/*#__PURE__*/e(\"h2\",{children:\"When & where\"}),/*#__PURE__*/t(\"p\",{children:[\"AI Week is a leading international conference that is focused on showcasing the forefront of AI research and the application of intelligent systems.\",/*#__PURE__*/e(\"br\",{}),\"You can find more info on the\\xa0\",/*#__PURE__*/e(a,{href:\"https://ai-week-2023.b2b-wizard.com/expo\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"official website\"})}),\".\"]}),/*#__PURE__*/t(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Location:\"}),\"\\xa0Tel Aviv University, Smolarz and Jagolm Auditoria\",/*#__PURE__*/e(\"br\",{}),/*#__PURE__*/e(\"strong\",{children:\"Dates:\"}),\"\\xa0February 13, 2023 \u2013 February 15, 2023\"]})]});export const richText42=/*#__PURE__*/e(r.Fragment,{children:/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/jO-0qzNcMmc\"})})})});export const richText43=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h2\",{children:\"Overview\"}),/*#__PURE__*/e(\"img\",{alt:\"Image\",className:\"framer-image\",height:\"80\",src:\"https://framerusercontent.com/images/qr4DcUFuWXfNrlzuN8QUfvRNDs.jpeg\",srcSet:\"https://framerusercontent.com/images/qr4DcUFuWXfNrlzuN8QUfvRNDs.jpeg?scale-down-to=512 512w,https://framerusercontent.com/images/qr4DcUFuWXfNrlzuN8QUfvRNDs.jpeg?scale-down-to=1024 1024w,https://framerusercontent.com/images/qr4DcUFuWXfNrlzuN8QUfvRNDs.jpeg?scale-down-to=2048 2048w,https://framerusercontent.com/images/qr4DcUFuWXfNrlzuN8QUfvRNDs.jpeg 2400w\",style:{aspectRatio:\"2400 / 160\"},width:\"1200\"}),/*#__PURE__*/e(\"p\",{children:\"Does your business handle images, comments, product descriptions, ads, or other content that needs to be moderated? Join us to learn from unique content moderation cases. Find out how companies in e-commerce and ad tech build multilingual, large-scale, efficient moderation projects with ML and human expertise.\"}),/*#__PURE__*/e(\"p\",{children:\"This meetup will be relevant to ML engineers, ML researchers, data scientists, and anyone who interacts with AI. Content is geared toward an audience with an intermediate level of experience in ML.\"}),/*#__PURE__*/e(\"h2\",{children:\"Agenda\"}),/*#__PURE__*/e(\"p\",{children:\"* The time is indicated in Israeli time zone (UTC+2)\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"219\",src:\"https://framerusercontent.com/images/M6MUenqV593IbUUcGQLtUaWLU.png\",srcSet:\"https://framerusercontent.com/images/M6MUenqV593IbUUcGQLtUaWLU.png?scale-down-to=512 512w,https://framerusercontent.com/images/M6MUenqV593IbUUcGQLtUaWLU.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/M6MUenqV593IbUUcGQLtUaWLU.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/M6MUenqV593IbUUcGQLtUaWLU.png 2890w\",style:{aspectRatio:\"2890 / 438\"},width:\"1445\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"301\",src:\"https://framerusercontent.com/images/Uo9EVTTvptibjH5yuB71dGqo.png\",srcSet:\"https://framerusercontent.com/images/Uo9EVTTvptibjH5yuB71dGqo.png?scale-down-to=512 512w,https://framerusercontent.com/images/Uo9EVTTvptibjH5yuB71dGqo.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/Uo9EVTTvptibjH5yuB71dGqo.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/Uo9EVTTvptibjH5yuB71dGqo.png 2890w\",style:{aspectRatio:\"2890 / 602\"},width:\"1445\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"301\",src:\"https://framerusercontent.com/images/MLlzg3KvSoOzpfjBtqE4MLfMjY.png\",srcSet:\"https://framerusercontent.com/images/MLlzg3KvSoOzpfjBtqE4MLfMjY.png?scale-down-to=512 512w,https://framerusercontent.com/images/MLlzg3KvSoOzpfjBtqE4MLfMjY.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/MLlzg3KvSoOzpfjBtqE4MLfMjY.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/MLlzg3KvSoOzpfjBtqE4MLfMjY.png 2896w\",style:{aspectRatio:\"2896 / 602\"},width:\"1448\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"217\",src:\"https://framerusercontent.com/images/5fvrKmsq0FYX4oQmurBFEjtyZk.png\",srcSet:\"https://framerusercontent.com/images/5fvrKmsq0FYX4oQmurBFEjtyZk.png?scale-down-to=512 512w,https://framerusercontent.com/images/5fvrKmsq0FYX4oQmurBFEjtyZk.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/5fvrKmsq0FYX4oQmurBFEjtyZk.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/5fvrKmsq0FYX4oQmurBFEjtyZk.png 2892w\",style:{aspectRatio:\"2892 / 434\"},width:\"1446\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"220\",src:\"https://framerusercontent.com/images/mosTZFyFGg79zcStqrOwRr2H4.png\",srcSet:\"https://framerusercontent.com/images/mosTZFyFGg79zcStqrOwRr2H4.png?scale-down-to=512 512w,https://framerusercontent.com/images/mosTZFyFGg79zcStqrOwRr2H4.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/mosTZFyFGg79zcStqrOwRr2H4.png?scale-down-to=2048 2048w,https://framerusercontent.com/images/mosTZFyFGg79zcStqrOwRr2H4.png 2898w\",style:{aspectRatio:\"2898 / 440\"},width:\"1449\"}),/*#__PURE__*/e(\"h2\",{children:\"Item moderation and data multi-labeling for e-commerce\"}),/*#__PURE__*/t(\"p\",{children:[\"In this talk, delivered jointly by Toloka, a global\\xa0\",/*#__PURE__*/e(a,{href:\"https://toloka.ai/data-labeling-platform/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"data labeling platform\"})}),\", and AliExpress, a multinational e-commerce marketplace, we will present a practical use case focusing on high-quality multilingual data annotation at an industrial scale. Lena Gruntova, the product director at AliExpress, will share their experience in setting up data annotation processes for\\xa0\",/*#__PURE__*/e(a,{href:\"https://toloka.ai/search-relevance/\",motionChild:!0,nodeId:\"REqU6c9cX\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(o.a,{children:\"search relevance\"})}),\", object matching, and localization.\"]}),/*#__PURE__*/e(\"h2\",{children:\"AI content moderation: the truth is out there\"}),/*#__PURE__*/e(\"p\",{children:'As a leading content recommendation platform, we at Taboola face many unexpected challenges. The journey for finding the \"ground truth\" is full of twists, engineering problems and of course - the human factor.In this talk we will unveil some of the surprising, shocking and quite frankly - weird use cases we see here in Taboola.'}),/*#__PURE__*/e(\"h2\",{children:\"Panel discussion about moderation\"}),/*#__PURE__*/e(\"p\",{children:\"Grab a drink and ask our guest experts everything you ever wanted to know about moderation.\"}),/*#__PURE__*/e(\"p\",{children:\"Representatives from Taboola, AliExpress, Booking.com and Toloka will answer questions. We are open to including more experts in the panel discussion. If you would like to suggest someone, let us know.\"})]});export const richText44=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/YI2KVfrEMs8\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/OCiLsqt3Tqg\"})})}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(n,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:t=>/*#__PURE__*/e(i,{...t,play:\"Off\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/0w7LCd9H8Mw\"})})})]});\nexport const __FramerMetadata__ = {\"exports\":{\"richText39\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText3\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText1\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText31\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText12\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText34\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText15\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText38\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText4\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText21\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText7\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText42\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText20\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText14\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText40\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText18\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText36\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText33\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText35\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText13\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText16\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText27\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText19\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText5\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText32\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText44\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText26\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText25\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText23\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText30\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText29\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText17\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText28\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText10\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText9\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText22\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText8\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText37\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText43\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText41\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText6\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText2\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText11\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText24\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"__FramerMetadata__\":{\"type\":\"variable\"}}}"],
  "mappings": "qSAAyS,IAAMA,EAAsBC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,uLAAuL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mIAAmI,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iJAAiJ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,yBAAyB,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeC,EAAuBL,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,6PAA6P,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+UAA+U,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,sKAAmLE,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,kBAAkB,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeE,EAAuBN,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,mRAA8Q,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yBAAoB,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,8EAA8E,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,sFAAsF,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,oDAAoD,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,+FAA+F,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,wDAAwD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6IAA6I,CAAC,CAAC,CAAC,CAAC,EAAeK,EAAuBL,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,kDAAkD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeE,EAAuBX,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,mCAAmC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,kOAA0OE,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAE,yCAAsDA,EAAE,SAAS,CAAC,SAAS,oFAAoF,CAAC,EAAE,qDAAkEA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,6BAA6B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeQ,EAAuBZ,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,0BAA0B,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iCAAiC,CAAC,EAAE,oGAAoG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,4BAA4B,CAAC,EAAE,oGAAiHA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gCAAgC,CAAC,EAAE,sJAAmKA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,EAAE,sIAAmJA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yCAAyC,CAAC,EAAE,mIAAgJA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yBAAyB,CAAC,EAAE,uEAAuE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,sHAAsH,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,mBAAmB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeS,EAAuBX,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,kDAAkD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeK,EAAuBd,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,uBAAuB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8iBAAyiB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,iCAAiC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iFAAiF,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAE,4pBAAoqBA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAea,EAAuBf,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,8BAA8B,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,QAAQ,CAAC,EAAE,+BAA0B,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,sCAAsC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeY,EAAuBhB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,eAAe,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,mCAAmC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcA,EAAE,SAAS,CAAC,SAAS,CAAC,iCAA8CE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,uGAAoHA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,iCAA8CE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,uSAAoTA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,6CAA0DE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,uLAAoMA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,+DAA4EE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,+FAA4GA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,qCAAkDE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,kKAA+KA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,gCAA6CE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,8KAA2LA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAeF,EAAE,SAAS,CAAC,SAAS,CAAC,6DAA0EE,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,4IAAyJA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oBAAoB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,sGAAsG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,4EAA4E,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAee,EAAwBjB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,6BAA6B,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,QAAQ,CAAC,EAAE,iCAA4B,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,qBAAqB,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAec,EAAwBlB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,2BAAsB,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,6FAA6F,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,mGAAmG,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,uEAAuE,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,8DAA8D,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,gHAAgH,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,qJAAgJ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeiB,EAAwBjB,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,mDAAmD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeW,EAAwBpB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kTAAkT,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,GAAG,CAAC,CAAC,CAAC,CAAC,EAAemB,EAAwBnB,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8CAA8C,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAea,EAAwBtB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ihBAAihB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,WAAW,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAEC,EAAE,CAAC,KAAK,kGAAkG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,iGAAiG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,iBAAiB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,gGAAgG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,WAAW,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,wGAAwG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,wGAAwG,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAeqB,EAAwBvB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kQAAkQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4EAA4E,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,+EAA+E,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,4JAA4J,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAC,2HAAwIE,EAAEC,EAAE,CAAC,KAAK,sDAAsD,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,8BAA8B,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,6BAAwB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,4CAA4C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,gDAAgD,CAAC,CAAC,CAAC,EAAE,oEAAoE,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,6BAA6B,CAAC,CAAC,CAAC,CAAC,EAAesB,EAAwBxB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gHAAgH,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oOAAoO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kNAAkN,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,4BAAuB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,+BAA+B,CAAC,CAAC,CAAC,CAAC,EAAeuB,EAAwBzB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,8aAA2bE,EAAEC,EAAE,CAAC,KAAK,oCAAoC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,4BAAuB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,8BAA8B,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,6BAA6B,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4oBAA4oB,CAAC,CAAC,CAAC,CAAC,EAAewB,EAAwB1B,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,krBAAkrB,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAEC,EAAE,CAAC,KAAK,+CAA+C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,UAAU,CAAC,CAAC,CAAC,EAAE,oBAAoB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeuB,EAAwBzB,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAemB,EAAwB5B,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,mRAAgSE,EAAEC,EAAE,CAAC,KAAK,mCAAmC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,yBAAyB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,EAAE,4DAA4D,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,6BAA6B,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,kBAA+BE,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,yFAAyF,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qOAAqO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2QAA2Q,CAAC,CAAC,CAAC,CAAC,EAAe2B,EAAwB7B,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sOAAsO,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,yBAAyB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,gCAAgC,CAAC,CAAC,CAAC,EAAE,8BAA8B,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,+BAA+B,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,kBAA+BE,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,yFAAyF,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qOAAqO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4QAA4Q,CAAC,CAAC,CAAC,CAAC,EAAe4B,EAAwB9B,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kPAAkP,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,oBAAoB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,WAAW,CAAC,CAAC,CAAC,EAAE,8CAA8C,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,+BAA+B,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,qCAAqC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0kBAA0kB,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,aAAa,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oDAAoD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6gBAA6gB,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,aAAa,EAAE,MAAM,MAAM,CAAC,CAAC,CAAC,CAAC,EAAe6B,EAAwB/B,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeuB,EAAwBhC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,wDAAwD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sPAAsP,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wYAAwY,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAEC,EAAE,CAAC,KAAK,2GAA2G,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,UAAU,CAAC,CAAC,CAAC,EAAE,8BAA8B,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,oEAAoE,OAAO,yVAAyV,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oBAAoB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uUAAuU,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,2BAA2B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sLAAsL,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,0BAA0B,CAAC,EAAE,qLAAqL,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mCAAmC,CAAC,EAAE,mJAAmJ,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,0BAA0B,CAAC,EAAE,kHAAkH,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+ZAA+Z,CAAC,CAAC,CAAC,CAAC,EAAe+B,EAAwBjC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,oRAAiSE,EAAE,KAAK,CAAC,CAAC,EAAE,uBAAoCA,EAAEC,EAAE,CAAC,KAAK,2CAA2C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,QAAQ,CAAC,CAAC,CAAC,EAAE,iCAA8CF,EAAEC,EAAE,CAAC,KAAK,4CAA4C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,cAAc,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,QAAqBE,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,0BAA0B,CAAC,CAAC,CAAC,EAAE,6DAA0EF,EAAE,KAAK,CAAC,CAAC,EAAE,8BAAyB,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,+BAA4CE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAegC,EAAwBlC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,6DAA6D,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+ZAA+Z,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,cAAc,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,+JAA4KE,EAAEC,EAAE,CAAC,KAAK,oCAAoC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,6BAA0CA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,QAAQ,CAAC,EAAE,oCAA4CA,EAAE,KAAK,CAAC,CAAC,EAAE,+BAA4CA,EAAE,SAAS,CAAC,SAAS,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeiC,EAAwBjC,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe2B,EAAwBpC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,QAAQ,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yUAAyU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4MAA4M,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,oCAAiDA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,yBAAyB,CAAC,CAAC,CAAC,EAAE,4BAA4B,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sDAAsD,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0CAA0C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iVAAiV,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,cAAc,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,4HAA4H,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,kKAAkK,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,oHAAoH,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yMAAyM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oCAAoC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ybAAyb,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,mEAAmE,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uYAAuY,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,6CAA6C,CAAC,CAAC,CAAC,CAAC,EAAemC,EAAwBrC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe6B,EAAwBtC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,4DAA4D,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,QAAQ,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gOAAgO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gBAAgB,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,iDAAiD,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,wCAAwC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,0DAA0D,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+TAA+T,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kBAAkB,CAAC,EAAE,uLAAuL,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2DAA2D,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oEAAoE,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mcAAmc,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iuBAAiuB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,4BAA4B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yiBAAoiB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,+EAA+E,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kgBAAkgB,CAAC,CAAC,CAAC,CAAC,EAAeqC,EAAwBvC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe+B,EAAwBxC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,yCAAyC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ojBAAojB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8BAA8B,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,gHAAgH,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,6NAA6N,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAS,CAAcE,EAAE,IAAI,CAAC,SAAS,kLAAkL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,UAAU,gBAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iEAAiE,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0BAA0B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qsBAAqsB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,2BAA2B,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,gkBAA6kBE,EAAEC,EAAE,CAAC,KAAK,oCAAoC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,uBAAuB,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,sBAAsB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wgBAAwgB,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,sBAAmCE,EAAEC,EAAE,CAAC,KAAK,sCAAsC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,WAAW,CAAC,CAAC,CAAC,EAAE,wOAAwO,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,oBAAoB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,wHAAwH,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,oIAAoI,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,6HAA6H,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,2BAA2B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,2HAA2H,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,0BAA0B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,gIAAgI,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,sBAAsB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAEC,EAAE,CAAC,KAAK,gFAAgF,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,qCAAqC,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeqC,EAAwBzC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,wEAAwE,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+KAA+K,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qOAAqO,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gBAAgB,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,QAAQ,sBAAsB,kBAAkB,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,6IAA6I,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,gGAA2F,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,oEAAoE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAewC,EAAwBxC,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAekC,EAAwB3C,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gXAAgX,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4MAA4M,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,oCAAiDA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,OAAoBA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,WAAW,CAAC,CAAC,CAAC,EAAE,gCAAgC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,+DAA+D,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uOAAuO,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,wBAAwB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2NAA2N,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oDAAoD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6YAA6Y,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oCAAoC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gSAAgS,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mdAAmd,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+UAA+U,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wXAAwX,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,osCAAosC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,iIAAiI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe0C,EAAwB5C,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeoC,GAAwB7C,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,4IAAyJE,EAAEC,EAAE,CAAC,KAAK,yBAAyB,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,UAAU,CAAC,CAAC,CAAC,EAAE,QAAqBF,EAAEC,EAAE,CAAC,KAAK,mCAAmC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,WAAW,CAAC,CAAC,CAAC,EAAE,+BAA4CF,EAAEC,EAAE,CAAC,KAAK,0DAA0D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,eAAe,CAAC,CAAC,CAAC,EAAE,qCAAkDF,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,WAAW,CAAC,CAAC,CAAC,EAAE,8HAA2IF,EAAEC,EAAE,CAAC,KAAK,6FAA6F,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,KAAK,CAAC,CAAC,CAAC,EAAE,KAAkBF,EAAEC,EAAE,CAAC,KAAK,sBAAsB,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,SAAS,CAAC,CAAC,CAAC,EAAE,QAAqBF,EAAEC,EAAE,CAAC,KAAK,uCAAuC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,MAAM,CAAC,CAAC,CAAC,EAAE,YAAyBF,EAAEC,EAAE,CAAC,KAAK,6BAA6B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,MAAM,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,srBAAsrB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4DAA4D,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,IAAI,CAAC,CAAC,CAAC,CAAC,EAAe4C,GAAwB9C,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,+DAA+D,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2QAA2Q,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4HAA6H,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mLAAmL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8JAA8J,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,cAAc,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,uOAAoPE,EAAE,KAAK,CAAC,CAAC,EAAE,oCAAiDA,EAAEC,EAAE,CAAC,KAAK,iCAAiC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,KAAK,CAAC,CAAC,EAAE,8BAAsCA,EAAEC,EAAE,CAAC,KAAK,wCAAwC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,2BAA2B,CAAC,CAAC,CAAC,EAAE,+DAA4EF,EAAE,KAAK,CAAC,CAAC,EAAE,+FAA0F,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe6C,GAAwB7C,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeuC,GAAwBhD,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,gEAAgE,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gIAAgI,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+bAA+b,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mcAAmc,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,cAAc,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,uJAAoKE,EAAE,KAAK,CAAC,CAAC,EAAE,oCAAiDA,EAAEC,EAAE,CAAC,KAAK,2CAA2C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,wDAAqEA,EAAE,KAAK,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,QAAQ,CAAC,EAAE,gDAA2C,CAAC,CAAC,CAAC,CAAC,CAAC,EAAe+C,GAAwB/C,EAAID,EAAS,CAAC,SAAsBC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeyC,GAAwBlD,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,KAAK,CAAC,SAAS,UAAU,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,QAAQ,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,OAAO,qWAAqW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yTAAyT,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uMAAuM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,QAAQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sDAAsD,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,oEAAoE,OAAO,yVAAyV,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,iWAAiW,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,qEAAqE,OAAO,6VAA6V,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,MAAM,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,wDAAwD,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,0DAAuEE,EAAEC,EAAE,CAAC,KAAK,4CAA4C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,EAAE,8SAA2TF,EAAEC,EAAE,CAAC,KAAK,sCAAsC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,kBAAkB,CAAC,CAAC,CAAC,EAAE,sCAAsC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,+CAA+C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2UAA2U,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,mCAAmC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6FAA6F,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2MAA2M,CAAC,CAAC,CAAC,CAAC,EAAeiD,GAAwBnD,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeP,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEM,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBP,EAAEQ,EAAE,CAAC,GAAGD,EAAE,KAAK,MAAM,WAAW,GAAG,UAAU,iBAAiB,IAAI,8BAA8B,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EACr71G2C,GAAqB,CAAC,QAAU,CAAC,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,SAAW,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,mBAAqB,CAAC,KAAO,UAAU,CAAC,CAAC",
  "names": ["richText", "u", "x", "p", "Link", "motion", "richText1", "richText2", "richText3", "ComponentPresetsConsumer", "t", "Youtube", "richText4", "richText5", "richText6", "richText7", "richText8", "richText9", "richText10", "richText11", "richText12", "richText13", "richText14", "richText15", "richText16", "richText17", "richText18", "richText19", "richText20", "richText21", "richText22", "richText23", "richText24", "richText25", "richText26", "richText27", "richText28", "richText29", "richText30", "richText31", "richText32", "richText33", "richText34", "richText35", "richText36", "richText37", "richText38", "richText39", "richText40", "richText41", "richText42", "richText43", "richText44", "__FramerMetadata__"]
}
