Web Reference: Aug 5, 2025 · Learn how LLMs choose their next token using probabilities, log probabilities, greedy sampling, and random sampling—with real examples and code. Dec 12, 2024 · In artificial intelligence, particularly in language models, sampling is the process of generating outputs by selecting tokens from a probability distribution. Think of it as the model making choices about what to say next, much like a human choosing their next word in a conversation. Feb 4, 2026 · Sampling techniques control how language models choose the next word during text generation. The model assigns probabilities to possible words and sampling determines which one is picked. By adjusting these methods, you can balance creativity and accuracy in generated responses.
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