Parameters

The numbers inside a model — often billions of them — tuned during training. Everything the model "knows" lives in them. Training sets them; inference uses them unchanged. Also called weights.

Usage:

"Can we fine-tune it on our codebase?"

"That'd update the parameters — different model afterwards. For one project it's almost always cheaper to load the codebase as context than to retrain."