Temperature

Caesar AI Atlas Definition

Temperature is a model-generation parameter that controls the randomness of an AI system’s output. Lower values tend to produce more focused and deterministic responses, while higher values increase variety, creativity, and the risk of less coherent or less reliable output.

Other Definitions

Temperature Source

A hyperparameter that controls the degree of randomness of a model's output. Higher temperatures result in more random output, while lower temperatures result in less random output. Choosing the best temperature depends on the specific application and or string values.

Also Referenced In

Zendesk — Generative AI Glossary UBC — Glossary of GenAI Terms University of North Texas — AI Terms University of Montevallo — AI Glossary

Concept Comparisons

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Temperature vs Deterministic

A side-by-side comparison of Temperature and Deterministic. Understand how a generation parameter controlling randomness relates to systems that produce the same output for the same input and state.