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What Is Temperature in AI?

Written byre:cinq StaffUpdated 16 Sept 2026

Temperature is a setting in AI models that controls the creativity and randomness of its output. Businesses need AI-generated content that is appropriate for the task at hand, whether that requires factual consistency or creative brainstorming.

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How it helps#

Adjusting the temperature allows you to fine-tune the AI's output, making it more predictable and focused for tasks like report summaries, or more imaginative for tasks like drafting marketing slogans.

How it works#

When an AI model generates text, it calculates the probability of every possible next word. A low temperature setting (e.g., 0.2) forces the model to consistently choose the most likely, predictable words. This results in conservative and highly consistent text, which is useful for factual or standardized content.

A high temperature setting (e.g., 0.9) increases the chances of the model selecting less common or unexpected words. This injects randomness and "creativity" into the output, making it more suitable for brainstorming or generating diverse options. However, setting the temperature too high increases the risk of the AI producing irrelevant or nonsensical responses.

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Related terms

  • Top-p sampling

    What Is Top-p Sampling?

    A technique that controls the randomness of AI-generated text by picking the next word from a dynamically sized pool of likely options.

  • Top-k sampling

    What Is Top-k Sampling?

    A technique that makes AI-generated text more varied by choosing each next word from a short list of the most probable options.

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