AITowards Data Scienceabout 2 hours ago
How to Decode the Temperature Parameter in LLMs
1 min read
The temperature parameter in LLMs controls how strictly the model enforces its beliefs. Low temperature amplifies small logit differences into near certainty. High temperature flattens those differences, making every word almost equally plausible. Temperature does not change the raw logits.
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