Short definition
Settings that govern how a model is trained or generates responses, such as learning rate or temperature.
Definition
Definition
Settings that govern how a model is trained or generates responses, such as learning rate or temperature. Lowering the temperature hyperparameter results in more predictable, focused outputs.