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Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance) article annex_XII CELEX: 32024R1689 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 information referred to in Article 53(1), point (b) shall contain at least the following:
1. A general description of the general-purpose AI model including: (a) the tasks that the model is intended to perform and the type and nature of AI systems into which it can be integrated; (b) the acceptable use policies applicable; (c) the date of release and methods of distribution; (d) how the model interacts, or can be used to interact, with hardware or software that is not part of the model itself, where applicable; (e) the versions of relevant software related to the use of the general-purpose AI model, where applicable; (f) the architecture and number of parameters; (g) the modality (e.g. text, image) and format of inputs and outputs; (h) the licence for the model. |
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance) article annex_XII CELEX: 32024R1689 2. A description of the elements of the model and of the process for its development, including: (a) the technical means (e.g. instructions for use, infrastructure, tools) required for the general-purpose AI model to be integrated into AI systems; (b) the modality (e.g. text, image, etc.) and format of the inputs and outputs and their maximum size (e.g. context window length, etc.); (c) information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies. |