Large Language Models · Level 2 of 5
Temperature
A parameter that rescales logits before sampling.
Lower positive temperatures sharpen the distribution; higher values flatten it.
Example
A generator uses a low setting to favor high-probability tokens.
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Temperature. A parameter that rescales logits before sampling. Lower positive temperatures sharpen the distribution; higher values flatten it. For example: A generator uses a low setting to favor high-probability tokens.
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