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Updated: Jul 2, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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从研究论文中提取准确的材料数据,使用对话语言模型和提示工程

Maciej P Polak1, Dane Morgan2

  • 1Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, 53706-1595, USA. mppolak@wisc.edu.

Nature communications
|February 21, 2024
PubMed
概括

ChatExtract使用对话式大语言模型 (LLM) 自动从研究论文中提取数据. 这种方法以最少的用户精力实现了高精度,克服了LLMs中常见的事实不准确性.

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