- a. the number of parameters of the model;
- b. the quality or size of the data set, for example measured through tokens;
- c. the amount of computation used for training the model, measured in floating point operations or indicated by a combination of other variables such as …
- d. the input and output modalities of the model, such as text to text (large language models), text to image, multi-modality, and the state of the art th…
- e. the benchmarks and evaluations of capabilities of the model, including considering the number of tasks without additional training, adaptability to le…
- f. whether it has a high impact on the internal market due to its reach, which shall be presumed when it has been made available to at least 10 000 regis…
- g. the number of registered end-users.
v2024-08-01