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AI GLOSSARY

Sampling

Large Language Model (LLM) Terms

A decoding strategy where the model selects the next token by randomly drawing from its probability distribution rather than always picking the highest-probability option. Sampling introduces variety and creativity into outputs, controlled by parameters like temperature and top-p sampling. It's the standard approach for conversational and creative applications — purely deterministic decoding tends to produce repetitive, flat text.