Unverified50% confidenceFactExact time
Sampling parameters, especially temperature, significantly affect model output, and are set independently by each tool and almost never exposed to the user.
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50%
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Long-term
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9/12/2026
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Verified温度（temperature）参数控制采样过程，温度越高输出越随机多样，温度越低越趋向最高概率的选择75% similarUnverifiedDue to the existence of the sampling temperature parameter, even with exactly the same prompt as input, the LLM's output may differ each time.71% similarVerifiedThe Temperature parameter of large models typically ranges from 0 to 2; the lower the temperature, the more deterministic and conservative the output, while the higher the temperature, the more diverse and creative the output.71% similar
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