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How does temperature impact next token prediction in LLMs?
- The temperature parameter in LLMs affects the next token prediction.
- At a temperature of 1, the probabilities are the same as the standard softmax function.
- Increasing the temperature broadens the range of potential candidates for next token prediction.
- Decreasing the temperature boosts the model's confidence and reduces uncertainty.
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