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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% similarVerifiedThe inconsistency of LLMs is closely related to the model's temperature parameter and stochastic sampling process, and multiple calls to the same model with the same question may produce different answers.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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