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Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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LmRaC:一个功能可扩展的工具,用于对用户实验结果的LLM查询

Douglas B Craig1, Sorin Drăghici2

  • 1Department of Emergency Medicine Research, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, United States.

Bioinformatics (Oxford, England)
|November 15, 2024
PubMed
概括

LmRaC是一个新的工具,它使用检索增强生成 (RAG) 来帮助科学家使用他们自己的实验数据回答复杂的问题. 这种方法最大限度地减少了幻觉,并确保了科学文献中准确,可追溯的结果.

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