Generally capable agents emerge from open-ended play
Exploring the development of AI agents with general and adaptive behavior, capable of learning and reacting to new conditions and playing a variety of games and tasks.
Enabling high-accuracy protein structure prediction at the proteome scale
Exploring the advancements in machine learning for high-accuracy protein structure prediction on a large scale
Putting the power of AlphaFold into the world’s hands
Sharing high-quality protein structure predictions for all human proteins and 20 other organisms using AlphaFold 2 system.
How We Share Knowledge as a Web Collective
Sharing knowledge among web engineers at SoundCloud and being part of the 'Web Collective'
Melting Pot: an evaluation suite for multi-agent reinforcement learning
Introducing Melting Pot: a scalable evaluation suite for multi-agent reinforcement learning, designed to test generalisation to novel social situations and assess a broad range of social interactions with 21 MARL substrates and over 85 unique test scenarios.
Evaluating large language models trained on code
Exploring the efficacy of large language models trained on code
What A Long, Strange Trip It's Been: EleutherAI One Year Retrospective
Reflecting on the inaugural year of EleutherAI.
Upcoming API Security Updates — Action Required
Upcoming API security updates requiring action from developers.
Looking for a developer experience engineer
This role has been filled
Improving language model behavior by training on a curated dataset
Enhancing language model performance through training on a carefully curated dataset
An update on our racial justice efforts
An update on DeepMind's racial justice efforts and intention to combat racism and advance racial equity.
Why Release a Large Language Model?
Exploring the benefits of creating and open sourcing a large language model for AI safety