Definition
A value learned during training that helps determine how a model transforms inputs into outputs.
Distinguish it from nearby terms
Parameters are learned; hyperparameters are selected to control training or model configuration.
Check your understanding
Model size measured in parameters says little by itself about data quality, architecture, or system reliability.