Unverified60% confidenceFactExact time
Due to the existence of the sampling temperature parameter, even with exactly the same prompt as input, the LLM's output may differ each time.
2
Sources
60%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
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77% similarUnverifiedTemperature adjustment only changes the sampling position on the same probability distribution, not the distribution itself, so sampling eight times at temperature 0.2 often yields minor variants of the same answer rather than genuinely different ideas.77% similarUnverified自洽性做法是对同一问题进行多次高温采样（temperature通常设为0.7-1.0），再用多数投票选出频率最高的结果76% similarUnverified温度参数（temperature）可以增加输出的随机性，但不能从根本上解决风格趋同问题75% similar
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