Foundation model
A large AI model trained on massive data that can be adapted to many downstream tasks. Foundation-model providers concentrate ecosystem value and increasingly expand into the application layer their own customers occupy.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Business AI Transformation.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A large AI model trained on broad, general-purpose data that can be adapted to a wide range of downstream tasks, forming the technical "foundation" underneath many specific generative AI products. The term is used across policy documents, including in the EU AI Act's general-purpose AI provisions, to distinguish these broad models from narrowly purpose-built systems.
A large AI model trained on massive data that can be adapted to many downstream tasks. Foundation-model providers concentrate ecosystem value and increasingly expand into the application layer their own customers occupy.
A common industry term for a large, general-purpose model trained on broad data and adapted to many uses. Overlaps in practice with the EU AI Act's "GPAI model," which is the term the law actually uses.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- GPAI upstream: what your foundation-model vendor owes you and what you must verify yourself · The EU AI Act: The Executive Map, AI Governance: Applied Mastery
- Ecosystem and Open-Source Strategy · Technology, Platforms and Vendors, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.