PromptSharpGlossary › Top-p (Nucleus Sampling)

What is Top-p (Nucleus Sampling)?

Top-p limits the model to the smallest set of words whose combined probability reaches p, controlling output diversity.

Top-p, or nucleus sampling, is a generation setting that restricts word choice to the smallest group of candidate words whose probabilities add up to p (e.g. 0.9). Lowering p makes output more focused; raising it toward 1.0 allows more variety.

It does a similar job to temperature and the two interact. Common guidance is to adjust one at a time rather than pushing both to extremes, which can make output incoherent.

Frequently asked

Should I change temperature or top-p?

Pick one to tune and leave the other at its default. Temperature is the more intuitive dial for most people; top-p is useful when you want to cap the tail of unlikely words while keeping the rest of the distribution intact.

Related terms

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Reality guardrail: definitions here are practical, not academic. AI models predict likely text, not verified truth — always check names, numbers, and citations against a trusted source before you rely on an answer.

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