Article

Retrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness

2024-12-19

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<title>Abstract</title> <p><bold>Purpose:</bold> Large Language Models (LLMs) offer potential for medical applications, but often lack the specialized knowledge needed for clinical tasks. Retrieval Augmented Generation (RAG) is a promising approach, allowing for the customization of LLMs with domain-specific knowledge, well-suited for healthcare. We focused on assessing the accuracy, consistency and safety of RAG...

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Genomics and Rare Diseases

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Literature Corpus work: 861c49bf-04cb-5d32-a091-f9ffcb6a5431
DOI: 10.21203/rs.3.rs-5062476/v1

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