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Glossary term
A large model trained on broad data that can be adapted to many different tasks.
A foundation model is trained once on broad data at large scale and then adapted to many tasks, by prompting, fine-tuning or adding tools. The same base can serve chat, coding, translation and more.
The term stresses that it is a base other systems are built on.
Foundation models concentrate cost and capability in a few developers, which shapes competition and policy.