If you need reproducible, consistent outputs from an LLM, set temperature to 0. This makes the model always select the highest-probability token at each step, effectively making it deterministic. This is essential for automated pipelines, testing, and any workflow where output consistency matters more than creativity. Reserve higher temperatures for brainstorming and creative generation tasks.
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