A foundation model is a large-scale AI model trained on a vast amount of data (often using self-supervision) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks.
Term popularized by the Stanford Institute for Human-Centered AI (HAI).
Describes the paradigm shift where single large models serve as the base for many specific applications.