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Glossary · Models and generation

Top-p sampling

Generation restricted to the smallest token set whose cumulative probability reaches a threshold.

What Top-p sampling does not show

It controls diversity, not factuality or source selection.

Terms this definition uses

token

Related terms in Models and generation

How a model produces text, what its training and decoding controls change, and what none of them can prove about a source.

Autoregressive model · Transformer · Attention · Self-attention · Parameter · Inference · Pretraining · Fine-tuning · Supervised fine-tuning · Instruction tuning · RLHF · Preference optimization · Knowledge distillation · Quantization · Mixture of experts · Multimodal model · Vision-language model · Small language model · Tokenizer · Temperature · Deterministic decoding · System prompt · Developer message · Tool call · Function calling · Structured output · Constrained decoding · Chain of thought · Reasoning trace · Context caching · Context compaction · Model routing · Model drift · Model version

Questions about Top-p sampling

What is Top-p sampling?

Generation restricted to the smallest token set whose cumulative probability reaches a threshold.

What does Top-p sampling not show or guarantee?

It controls diversity, not factuality or source selection.

Which area of the glossary does Top-p sampling belong to?

Models and generation: How a model produces text, what its training and decoding controls change, and what none of them can prove about a source.

← Temperature  ·  Deterministic decoding →

See it in the full glossary · 772 terms across 19 areas.

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