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What is temperature in an LLM?

In short

Temperature is a setting that controls how random or predictable a language model's output is. A low temperature makes the model pick the most likely words, giving focused, consistent answers, while a high temperature adds variety and creativity but more risk of odd results. You lower it for factual tasks and raise it for brainstorming or creative writing.

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