General-Purpose AI (GPAI) Model
An AI model trained on broad data that can perform a wide range of tasks and be integrated into many systems. The Act treats the model and the system built on it as two separate applicability questions: placing the GPAI model itself on the EU market is a provider act with its own obligations under Article 2(1)(a), and it does not by itself decide whether a downstream system built on that model is high-risk or who is its provider. Building on one can also trip the Article 25 provider line, which is why the upstream vendor relationship, what the model vendor owes and what you must verify yourself, is its own topic (see Topic 5.5).
Defined in 2 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
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.
An AI model trained on broad data that can perform a wide range of tasks and be integrated into many systems. The Act treats the model and the system built on it as two separate applicability questions: placing the GPAI model itself on the EU market is a provider act with its own obligations under Article 2(1)(a), and it does not by itself decide whether a downstream system built on that model is high-risk or who is its provider. Building on one can also trip the Article 25 provider line, which is why the upstream vendor relationship, what the model vendor owes and what you must verify yourself, is its own topic (see Topic 5.5).
An AI model trained on broad data and capable of many tasks, subject to a distinct set of provider obligations under the AI Act's GPAI chapter (Articles 51 onward); a substantial modification of such a model can carry GPAI provider duties on top of Article 4.
A broadly capable AI model, trained by a model provider, that can be adapted to many tasks and is typically reached through a paid API or self-hosted from open weights. The thing a wrap wraps. Under the EU AI Act, GPAI model providers carry their own obligations (applicable since 2 August 2025), which is part of what a deployer inherits exposure to. (see Topic 5.5)
Under the EU AI Act, a model trained on broad data that can perform a wide range of tasks and be integrated into many systems. GPAI providers carry specific duties, including publishing a training-content summary.
A model that can perform a wide range of tasks and be integrated into many downstream systems. Under the EU AI Act (Article 53, Regulation (EU) 2024/1689), GPAI model providers must, since 2 August 2025, supply documentation to downstream providers and publish a summary of training content.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- EU AI Act Article 4 & US AI Workforce Mandates: Compliance Requirements · Ethical and Responsible AI and Operational Governance, AI Literacy & Professional Conduct
- Build, buy, or wrap: the decision framework with your organization's real budget · Shipping AI and Surviving the Incident, AI Governance: Applied Mastery
- The two gates: is it an AI system, and does the Act apply to your organization at all · The EU AI Act: The Executive Map, AI Governance: Applied Mastery
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, AI Governance: Applied Mastery
- Reading the primary source: a model card, a system card, and what they do not say · Staying Current: The Frontier Discipline, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.