Verified65% confidenceFactExact time
The higher the temperature parameter, the flatter the probability distribution output by Softmax, and the more creative and diverse the output; the lower the temperature, the sharper the distribution and the more deterministic and conservative the output.
3
Sources
65%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
VerifiedThe lower the Temperature parameter, the more it tends to select the highest-probability words for more conservative output; the higher it is, the more creative the output but the more prone to hallucinations.83% similarVerifiedTemperature controls the flatness of the sampling distribution; a higher value tends toward selecting lower-probability words, while Top-p dynamically narrows the candidate vocabulary set through a cumulative probability threshold.81% similarUnverified温度值越低模型输出越确定性，适合事实查询和代码生成；值越高输出更具创造性，适合文案创作77% similarUnverified温度超参数τ越小分布越集中，模型对难负样本越敏感，但τ过小会导致梯度对异常值敏感、训练不稳定74% similar
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