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Updated: Jun 7, 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

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提高语言嵌入模型中复杂术语组的偏差评估:方法的定量比较

Magnus Gray1, Mariofanna Milanova2, Leihong Wu1

  • 1Division of Bioinformatics & Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States.

JMIR medical informatics
|November 15, 2024
PubMed
概括

一种新的方法,标准偏差词嵌入关联测试 (SD-WEAT),提供了一种更强大和可靠的方法来测量人工智能 (AI) 语言模型中的偏差. 这种改进的技术解决了以前方法的局限性,确保了更公平的AI开发.

关键词:
在这里,我们可以看到AIAIAI.人工智能语言模型AI语言模型由人工智能驱动的工具.在NLP中,我们使用了NLP.申请申请表 申请表 申请表人工智能的人工智能是人工智能.评估评估的评估评估的评估.偏见 偏见 偏见 偏见 偏见偏差测量的偏差测量在决策过程中做出决定.输入嵌入式 输入嵌入式语言模型语言模型自然语言处理自然语言处理.

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