General-purpose AI model (GPAI model)
An AI model that displays significant generality and is capable of competently performing a wide range of distinct tasks regardless of the way it is placed on the market, and that can be integrated into a variety of downstream systems or applications; defined in Article 3(63) of Regulation (EU) 2024/1689. The gateway concept for Chapter V obligations.
Defined in 2 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
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 that displays significant generality and is capable of competently performing a wide range of distinct tasks regardless of the way it is placed on the market, and that can be integrated into a variety of downstream systems or applications; defined in Article 3(63) of Regulation (EU) 2024/1689. The gateway concept for Chapter V obligations.
A model trained on broad data that can perform many tasks and be integrated into many different downstream systems, for example a large language model. The EU AI Act gives GPAI model providers a specific set of obligations under Articles 51 to 56.
An AI model that is trained with a large amount of data using self-supervision at scale and that displays significant generality and is capable of competently performing a wide range of distinct tasks, and which can be integrated into a variety of downstream systems or applications (Article 3(63), Regulation (EU) 2024/1689).
Defined in Article 3(63) as an AI model trained with a large amount of data using self-supervision at scale, displaying significant generality and capable of competently performing a wide range of distinct tasks regardless of placement modality.
Where it is taught
The exact lessons this term appears in. The first module of every program is 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, Certified AI Governance Professional (CAIGP)
- GPAI Definition and Scope (the Chapter V Trigger) · General-Purpose AI (GPAI) Models, EU AI Act Implementation Expert
- GPAI Transparency and Documentation (Article 53) · General-Purpose AI (GPAI) Models, EU AI Act Implementation Expert
- Open-Source GPAI: Exemptions and Boundaries · General-Purpose AI (GPAI) Models, EU AI Act Implementation Expert
Where it shows up at work
A definition is where General-purpose AI model (GPAI model) starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
One lesson on this page teach it as a primary outcome.
Turns controls into enforceable obligations: data use, change notice, audit rights, incident duties, subcontractors, IP, exit and deletion.
One lesson on this page teach it as a primary outcome.
Tiers vendors by use and impact, requests evidence instead of promises, tests in the customer's context, and plans monitoring and exit.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- AI Compliance Managerneeds it at depth · 2 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Vendor Risk Managerneeds it at depth
- Third-Party Cyber Risk Managerneeds it at depth
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; GDPR Article 28; EU AI Act value-chain obligations.
One interview question about it
Classify a specific AI system under the EU AI Act and name the obligations that follow, including what applies now and what is deferred.
Asked of candidates for eu ai act obligations and timelines. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
- Legal and paralegal work carries it as work you can show: Contract terms are your product.
- Privacy and data protection carries it as a claim to back up: Processor and vendor review is routine privacy work.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.