Unverified50% confidenceFactExact time
temperature控制随机性、frequency_penalty惩罚重复是控制模型输出的API参数
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
Unverifiedtemperature是控制模型输出概率分布平坦程度的超参数，值为0时对同一输入始终产生相同输出75% similarUnverifiedThe Temperature parameter of large language models controls the randomness and creative divergence of the model; when Temperature is 0, the output is completely deterministic.75% similarVerifiedThe Temperature parameter controls the randomness of LLM output; for code generation scenarios, a lower temperature value (such as 0.1) is typically recommended to obtain more deterministic and conservative results.75% similarUnverifiedtemperature 参数控制输出随机性，top_p 通过动态截断概率分布平衡输出多样性与质量74% similarUnverified在LLM层面微量随机因子对应调高采样温度（Temperature）或Top-P参数，工程做法是检测到轨迹重复时将Temperature从默认值（如0.2）动态提升至0.7~1.070% similar
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