Unverified50% confidenceFactExact time
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
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8/18/2026
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Related Claims
Unverified较高的温度参数会增加输出的随机性，在测试场景中往往需要将其调低以保证输出稳定性79% 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.75% similarVerified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74% 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.72% similar
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