Open Source models and Open Source weights
For machine learning systems,
- An AI model consists of the model architecture, model parameters (including weights) and inference code for running the model.
- AI weights are the set of learned parameters that overlay the model architecture to produce an output from a given input.
The preferred form to make modifications to machine learning systems also applies to these individual components. “Open Source models” and “Open Source weights” must include the data information and code used to derive those parameters.