Annex XII Transparency information referred to in Article 53(1), point (b) — technical documentation for providers of general-purpose AI models to downstream providers that integrate the model into their AI system

the tasks that the model is intended to perform and the type and nature of AI systems means a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments; into which it can be integrated;

the acceptable use policies applicable;

the date of release and methods of distribution;

how the model interacts, or can be used to interact, with hardware or software that is not part of the model itself, where applicable;

the versions of relevant software related to the use of the general-purpose AI model means an AI model, including where such an AI model is trained with a large amount of data using self-supervision at scale, that displays significant generality and is capable of competently performing a wide range of distinct tasks regardless of the way the model is placed on the market and that can be integrated into a variety of downstream systems or applications, except AI models that are used for research, development or prototyping activities before they are placed on the market;, where applicable;

the architecture and number of parameters;

the modality (e.g. text, image) and format of inputs and outputs;

the licence for the model.

the technical means (e.g. instructions for use means the information provided by the provider to inform the deployer of, in particular, an AI system’s intended purpose and proper use;, infrastructure, tools) required for the general-purpose AI model means an AI model, including where such an AI model is trained with a large amount of data using self-supervision at scale, that displays significant generality and is capable of competently performing a wide range of distinct tasks regardless of the way the model is placed on the market and that can be integrated into a variety of downstream systems or applications, except AI models that are used for research, development or prototyping activities before they are placed on the market; to be integrated into AI systems means a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments;;

the modality (e.g. text, image, etc.) and format of the inputs and outputs and their maximum size (e.g. context window length, etc.);

information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies.