Entropy-based sampling

EntropyBasedSampling Adaptive Band Search Diversity Enhancement

Entropy-based sampling enhances language models by adjusting sampling strategies based on entropy and variance to improve text diversity and accuracy.

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Author:LoRA

Inclusion Time:11 Mar 2025

Visits:4912

Pricing Model:Free

Introduction

What is Entropy-based sampling?

Entropy-based sampling is a technique used in natural language processing to enhance the diversity and accuracy of text generated by language models. It assesses model uncertainty through entropy calculations and adjusts sampling strategies accordingly. This helps avoid repetitive outputs and improves the quality of generated text.

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