In a 200+ page paper, Percy Liang, Fei-Fei Li, and over 100 other researchers from the Stanford University Center for Research on Foundation Models (CRFM) systematically describe the opportunities and risks of large-scale pretrained “foundation” models. The unique study aims to provide a clearer understanding of how these models work, when and how they fail, and the various capabilities provided by their emergent properties.

Here is a quick read: 100+ Sandford Researchers Publish 200+ Page Paper on the AI Paradigm Shift Introduced by Large-Scale Models.

The paper On the Opportunities and Risks of Foundation Models is on arXiv.



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