ai
Top-p
Top-p (Nucleus) Sampling
Definition
Top-p (nucleus) sampling selects the smallest set of tokens whose cumulative probability exceeds p, then samples from this nucleus. Unlike top-k, the nucleus size adapts to the model's confidence — when the model is certain, few tokens dominate, and when uncertain, more tokens are included.
A typical production value is p=0.9 or p=0.95, balancing diversity against incoherence.
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