Glossary · AI
What is
Top-p / Nucleus Sampling?
A sampling parameter that limits LLM output to the smallest set of tokens whose probabilities sum to p.
By Anish· Founder · Vedwix
·Definition
Top-p sampling restricts the model's next-token choice to the smallest set whose cumulative probability is at least p (e.g., 0.9). This dynamically narrows the choices when the model is confident and widens them when uncertain. Used together with temperature, top-p gives finer control over output variability.
Example
top-p of 0.95 means the model considers only the top tokens that account for 95% of the probability mass.
How Vedwix uses Top-p / Nucleus Sampling in client work
We tune top-p when temperature alone produces too much variance in some outputs but too little in others.
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