Temperature
Noun · AI & Machine Learning
Definitions
A parameter that controls the randomness of a language model's output. Lower temperatures (0.0–0.3) make outputs more deterministic and focused; higher temperatures (0.7–1.0+) increase creativity and diversity but also increase the chance of errors or incoherence.
In plain English: A knob that controls how creative vs. predictable an AI's responses are.
Example: "Set temperature to 0 for the code generation step — we need deterministic output, not creative liberty."
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- Temperature
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