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The new 2.7B parameter language model trained on biomedical literature delivers an improved state of the art for medical question answering.
The new 2.7B parameter language model trained on biomedical literature delivers an improved state of the art for medical question answering.
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.
The rapid advancement of foundation models, as well as the ethical concerns around them, is why one year ago, Stanford HAI founded the Center for Research on Foundation Models (CRFM). Despite progress, there is much work left to do.
The rapid advancement of foundation models, as well as the ethical concerns around them, is why one year ago, Stanford HAI founded the Center for Research on Foundation Models (CRFM). Despite progress, there is much work left to do.
CRFM Director Percy Liang explains the urgent need to develop community norms that guarantee research access and help guide the future of AI responsibly.
CRFM Director Percy Liang explains the urgent need to develop community norms that guarantee research access and help guide the future of AI responsibly.
Percy Liang on the Center for Research on Foundation Models' First and Next 30 Years
In this podcast, two scholars discuss being 'weirded out' by GPT-3, unresolved questions in building best practices, and the future of CRFM.
In this podcast, two scholars discuss being 'weirded out' by GPT-3, unresolved questions in building best practices, and the future of CRFM.
The Time Is Now to Develop Community Norms for the Release of Foundation Models
Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.
Perspectives about the benefits and risks of release vary widely. We propose setting up a review board to develop community norms and encourage coordination on release for research access.
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Large Language Models Can Be Strong Differentially Private Learners
Large Language Models Can Be Strong Differentially Private Learners
Introducing the Center for Research on Foundation Models (CRFM)
This new center at Stanford convenes scholars from across the university to study the technical principles and societal impact of foundation models.
This new center at Stanford convenes scholars from across the university to study the technical principles and societal impact of foundation models.
