Glossary · Models & inference
Temperature
A decoding parameter that rescales logits before a probability distribution is formed. Higher positive values usually flatten the distribution; lower positive values sharpen it.
Why it matters
Temperature changes sampling behavior, not the model's knowledge or factuality.
Common confusion
A zero setting is often implemented as greedy decoding, but exact behavior and determinism depend on the provider, sampler, seed support, and serving system.
Related terms
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