New paper — In ‘Unnatural Instructions’ we propose a new method to automatically generate natural language instructions, allowing us to scale up to 240K diverse instructions & train models that rival the performance of contemporary instruction-tuned models. Read on ArXiv
@aiatmeta
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Meta AI Newsletter Year-End Recap and NeurIPS 2022 Highlights
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A new issue of the Meta AI newsletter is heading to your inbox next week! We're wrapping up the year with a look at some of our biggest breakthroughs, research you may have missed and a recap of what we shared at #NeurIPS2022. Subscribe
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Thanking researchers for advancing AI study and progress
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Thank you to @OlgaNLP
, @moyapchen
, @spencerpoff
, @LukeZettlemoyer
, @CMacota99
, Maryam F. and @real_asli for all of their work to move this space forward with this study! -
ROSCOE: New Metrics Suite for Evaluating Step-by-Step Reasoning
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ROSCOE is a first-of-its-kind suite of metrics for scoring step-by-step reasoning. By publishing this study we hope to provide a foundation that enables scalable systematic evaluation and benchmarking of new language models. See the paper on arXiv https://
arxiv.org/abs/2212.07919 -
CICERO Achieves Top 10% Performance in Online Diplomacy League
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If you guessed ‘double the average score of the human players’ you are correct! CICERO’s score ranked it in the top 10% of participants who played more than one game in the online league. Read about CICERO’s gameplay
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CICERO AI Diplomacy Game: Win Rate Against Human Players
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Meta AI’s CICERO plays Diplomacy with humans, like humans. And more often than not, wins. Recently, CICERO played Diplomacy games online against 82 competitors. Can you guess CICERO’s win rate compared to that of the human players?
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Meta AI Unveils data2vec 2.0: 16x Faster Self-Supervised Learning
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Announcing data2vec 2.0, a new general self-supervised algorithm built by Meta AI for speech, vision & text that can train models 16x faster than the most popular existing algorithm for images while achieving the same accuracy. Read more & get the open source code
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Meta AI’s CICERO Advances Beyond Scripted AI Agents
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Meta AI’s @alex_h_miller speaks to CICERO's ability to perform far beyond today's 'scripted' AI agents. #CICERObyMetaAI uses purposeful, intentional language to understand and interact w/ Diplomacy players to achieve shared goals.
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Video Similarity Challenge Announced with $25K Prize Pool
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Announcing our Similarity Challenge on @DrivenDataOrg
! Build a computer vision model to aid in matching modified videos for a chance to win up to $25K for each track. Learn more about the challenge and how to get started https://
bit.ly/3FecMVi -
CICERO Learns Optimal Moves Using Reinforcement Learning
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Meta AI’s @anton_bakhtin discusses how he and his team used Reinforcement Learning to teach CICERO the best moves for the millions of possible actions that could be made on any given board state. pic.twitter.com/W8SJKDz6Vf
— AI at Meta (@AIatMeta) 10 décembre 2022Meta AI’s @anton_bakhtin discusses how he and his team used Reinforcement Learning to teach CICERO the best moves for the millions of possible actions that could be made on any given board state.