We’re have five big publications to share, spanning #GenerativeAI to protein folding. You can see more here https://
bit.ly/3VwZyt7 2/4
@aiatmeta
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Five Major Publications on Generative AI and Protein Folding
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Meta AI Team at NeurIPS 2022 Conference Booth 208
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👋Hey #NeurIPS2022! We’re here and excited to connect and share with the community over the course of the conference.
— AI at Meta (@AIatMeta) 28 novembre 2022
📍 Booth #208
A 🧵of things to look out for from the Meta AI team ⬇️
1/4 pic.twitter.com/E4pyf3YTMTHey #NeurIPS2022! We’re here and excited to connect and share with the community over the course of the conference. Booth #208 A of things to look out for from the Meta AI team 1/4
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AI Agents in Metaverse: CICERO Helping Humans Achieve Goals
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Imagine an AI agent teaching you a new skill in the metaverse. Or a non-player character helping you find your way to a win in a video game. How ever developers responsibly build on CICERO’s code, there’s potential for AI to help humans reach more of their goals. #CICERObyMetaAI
— AI at Meta (@AIatMeta) 25 novembre 2022Imagine an AI agent teaching you a new skill in the metaverse. Or a non-player character helping you find your way to a win in a video game. How ever developers responsibly build on CICERO’s code, there’s potential for AI to help humans reach more of their goals. #CICERObyMetaAI
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CICERO by Meta AI: Strategic Dialogue Generation System
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#CICERObyMetaAI generates strategic, free-form dialogue by: Predicting the moves other players are likely to make Creating a plan based on those predictions Generating messages Filtering the final messages for clarity and value Read more on our blog
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CICERO’s Strategic Reasoning and Cooperative Planning Capabilities
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Meta AI’s @polynoamial and @anton_bakhtin talk about strategic reasoning and how it enables #CICERObyMetaAI to predict moves from billions of possibilities. Want to know how CICERO uses planning to find opportunities for mutually beneficial cooperation? Read more on our blog
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Games as AI Proving Ground: Strategic Reasoning and NLP Advancements
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Ever wonder how we got to where we are today with AI? Games have always been a proving ground for AI due to their complexity — our work on CICERO included. Only through advancements in strategic reasoning and NLP was CICERO made possible. Learn more about #CICERObyMetaAI
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Meta AI Introduces CICERO: First AI Achieving Human-Level Diplomacy Performance
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Meta AI presents CICERO — the first AI to achieve human-level performance in Diplomacy, a strategy game which requires building trust, negotiating and cooperating with multiple players. Learn more about #CICERObyMetaAI: http://
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MultiRay: Meta’s Platform for Efficient Large-Scale AI Models
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Meet MultiRay, Meta’s new platform for efficiently running large-scale, state-of-the-art AI models. By converting input to an embedding that’s cached & shared between users, MultiRay greatly reduces complexity & energy use. Here’s how it's enabling us to build & scale ML work
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ImageNetX: Explaining Vision Model Failures Through Detailed Annotations
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Even today’s best #deeplearning vision systems can fail when pose/lighting/background vary. Existing benchmarks show challenging examples but don’t explain why. ImageNetX includes annotations for the entire ImageNet1k validation set + a random subset of 12k training images.
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ImageNetX: Human Annotations for AI Vision Model Robustness Analysis
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We’ve released ImageNetX: a set of human annotations for the popular ImageNet benchmark to gauge model robustness strengths/weaknesses — one of the first large scale efforts to pinpoint mistake types in AI computer vision systems. Explore the dataset