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The core of model distillation lies in the application of the temperature softmax function, which softens the probability distribution through the temperature parameter T to reveal similarity relationships between classes
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9/10/2026
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VerifiedWhen a large language model generates each token, it samples from a probability distribution; the temperature parameter controls the degree of randomness—higher temperature produces more diverse outputs, while lower temperature produces more deterministic ones.73% similarUnverified温度参数T趋近于0时模型趋向贪心解码，相同输入下必然给出完全相同输出，是导致Agent固化循环的根本原因72% similarVerifiedLLM的不一致性与模型的温度参数和随机采样过程密切相关，同一问题多次调用同一模型可能产生不同答案72% similarVerifiedThe simulated annealing algorithm is a stochastic optimization algorithm derived from statistical mechanics that controls the probability of accepting inferior solutions during the search process by introducing a temperature parameter, and theoretically has global convergence guarantees.71% similarUnverified传统控制模型多样性的方法是通过调整温度、Top-p等采样参数70% similar
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