Expired90% confidenceFactExact time
The 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.
11
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
How to Configure DeepSeek in Claude Code: One-Click AI Model Switching with CcSwitch
bilibili乌云AI实战6/5/2026
Related Claims
Unverified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0.7~1.082% similarUnverified对于需要确定性输出的代码生成场景推荐低温度值（0.0~0.3），需要创意发散的文案生成场景推荐较高温度值（0.7~1.0）80% similarUnverifiedIn testing scenarios, it is generally necessary to set the Temperature to a low value (e.g., 0.1–0.2) combined with a fixed random seed to ensure output reproducibility.79% similar
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