Temperature
A sampling setting that decides how much randomness goes into picking each next token.
At temperature 0 the model takes the likeliest token every time, so the same input gives nearly the same output. Raise it and unlikely tokens get a real chance. The text varies more and gets harder to predict.
I keep it between 0 and 0.3 for extraction, classification and code, and for anything I will run twice and expect to match. Around 0.7 works for drafting and brainstorming. Above 1 you mostly get noise, not creativity. If the output feels stale, fix the prompt before touching the dial.
Temperature interacts with top-p. Change both at once and you will not know which one did what, so tune one.
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Where this comes up
Prompts, configs and tutorials in the library that touch this term.
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