Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements
{{output}}
Large language models (LLMs) excel in natural language processing (NLP) but struggle with domain-specific complexities in electronic health records (EHRs). We demonstrate that retrieval-augmented generation (RAG) enhances LLMs for dietary supplement (DS) infor... ...
