On the Opportunities and Risks of Foundation Models: Stanford coins the term
In one sentence Stanford's Center for Research on Foundation Models publishes a 200+ page report coining the term foundation models, now standard in technical, academic and regulatory discourse.
Stanford launches a new research center, CRFM (Center for Research on Foundation Models), and publishes a sweeping 200+ page report signed by dozens of researchers.
The document coins the term foundation models: huge models trained once on huge data that are then adapted to many different tasks. Examples: GPT-3, BERT, CLIP, DALL·E.
The term gradually replaces "large language model" in broader discourse, because it also fits non-language models (images, audio, multimodal). It becomes the reference vocabulary for academia, policy makers and regulators (see the EU AI Act).
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