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Why the same prompt gives different answers — temperature, explained in 40 seconds
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831 vues9J'aime39AdamRoslerVersion originale : 2026-04-26

Large language models generate text by sampling words from probability distributions, where each word has a selection probability; the temperature parameter controls this randomness—low temperature sharpens the distribution so the highest-probability word is selected almost always, while high temperature flattens it so any plausible word has a chance, which is why the same prompt can produce different answers across multiple calls.

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