arXiv (OAI Expanded)
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Temperature Fragility and the Conditional Benefits of Truncation Sampling
Large language models generate text by sampling each token from a predicted distribution, and a temperature parameter sets how far the draw strays from the most probable tokens. Truncation samplers such as top-p and min-p discard the least probable tokens before the draw, so that sampling at high te
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