A foundation model is a large model trained on broad data at scale that can be adapted to many downstream tasks. LLMs and large vision models are foundation models — general-purpose bases you build specific applications on.
Rather than training a bespoke model per task, teams adapt a foundation model through prompting, retrieval or fine-tuning — dramatically lowering the cost and time to ship AI features.
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