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Claim · 2021-08-16 · publication · Stated in source · Supported

The report names models trained on broad data at scale and adaptable to many downstream tasks "foundation models", explaining the term by their "critically central yet incomplete character".

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On the Opportunities and Risks of Foundation Models → states its contribution → The report names models trained on broad data at scale and adaptable to many downstream tasks "foundation models", explaining the term by their "critically central yet incomplete character".

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