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.
Settings governing model training and responses
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.