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Updated: Jun 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

543

在证据合成中,用于数据提取的两个大型语言模型的性能

Amanda Konet1, Ian Thomas1, Gerald Gartlehner1,2

  • 1Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, North Carolina, USA.

Research synthesis methods
|June 19, 2024
PubMed
概括

大型语言模型 (LLM) 显示了证据综合数据提取的前景. 克劳德2显示出比GPT-4更高的精度,这主要是由于GPT-4的优势.

关键词:
准确度 准确度 准确度 准确度人工智能的人工智能是人工智能.数据提取数据提取.证据综合 证据综合大型语言模型.

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