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Retrieval-augmented generation salvages poor performance from large language models in answering microbiology-specific multiple-choice questions.

ABSTRACT:

SUBMITTER: Perkins G 

PROVIDER: S-EPMC11898693 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature

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Retrieval-augmented generation salvages poor performance from large language models in answering microbiology-specific multiple-choice questions.

Perkins Grace G   Anderson Neil W NW   Spies Nicholas C NC  

Journal of clinical microbiology 20250211 3

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