Model Parameter
Noun · AI & Machine Learning
Definitions
A parameter within a model, or in product usage a configurable setting that affects model behavior. The term can refer either to learned weights or to external control values depending on context.
In plain English: A learned weight or a setting that affects how a model behaves.
Example: "They adjusted one decoding parameter for consistency, but the underlying learned model parameters stayed unchanged."