Unverified50% confidenceTradeoffExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
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84% 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.82% 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79% 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.78% 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75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/564947API
curl https://kongchang.com/api/v1/knowledge/claims/564947MCP
get_claim(id=564947)