Article

Retrieval Augmented Generation for Large Language Models in Healthcare: A Systematic Review

2024-07-11

Abstract excerpt

Large Language Models (LLMs) have demonstrated promising capabilities to solve complex tasks in critical sectors such as healthcare. However, LLMs are limited by their training data which is often outdated, the tendency to generate inaccurate ("hallucinated") content and a lack of transparency in the content they generate. To address these limitations, retrieval augmented generation (RAG) grounds the responses of...

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Literature Corpus work: 105b4525-17d2-5981-85b4-757c1bd95d4a
DOI: 10.20944/preprints202407.0876.v1

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