General-purpose AI (GPAI) model

An AI model that is capable of performing a wide range of tasks and can be integrated into various downstream AI systems and applications. These models are often foundational, meaning they can be adapted to numerous specific uses across different domains, such as natural language processing, image recognition, and data analysis.

AI models, including large language models, capable of performing a broad range of distinct tasks, even those for which they were not explicitly trained; providers of GPAI are subject to specific transparency, documentation, and additional obligations where they pose systemic risk.

Models intended to perform a wide range of tasks across domains rather than a narrowly defined function; the Refresh recognises GPAI as a distinct category requiring tailored oversight and alignment with EU-level measures due to their broad capabilities and impacts.

Powerful AI models capable of performing a wide range of tasks, which can underpin various AI systems and may carry systemic risks, necessitating specific obligations for their providers, especially those with significant computational power or widespread impact.

AI models, often large language models, that are capable of competently performing a wide range of distinct tasks and are typically trained on vast amounts of data. These models can form the basis of AI systems but are distinct from them.

These are AI models capable of performing a wide range of distinct tasks, often used as a basis for other AI systems. The Act introduces rules on transparency and copyright for all GPAI models, with additional, more stringent requirements for those identified as posing systemic risks.

Models that meet the AI Act’s definition of systems designed to perform a wide range of tasks and that can be adapted for different downstream uses; the Template applies specifically to such GPAI models when placed on the Union market or put into service in the Union.