Top-p (Nucleus Sampling)
Restricting sampling to the smallest set of tokens whose probability sums to p.
/ quick answer
Top-p sampling picks from the smallest set of highest-probability tokens whose cumulative probability exceeds p (e.g. 0.9), producing more coherent output than pure temperature scaling. Restricting sampling to the smallest set of tokens whose probability sums to p.
/ frequently asked
What is Top-p (Nucleus Sampling)?
Top-p sampling picks from the smallest set of highest-probability tokens whose cumulative probability exceeds p (e.g. 0.9), producing more coherent output than pure temperature scaling.
What is an example of Top-p (Nucleus Sampling)?
top_p=0.9 with temperature=0.7 is a common default for creative writing.
Why does Top-p (Nucleus Sampling) matter?
Restricting sampling to the smallest set of tokens whose probability sums to p.
What should I learn after Top-p (Nucleus Sampling)?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
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