Development of a liver disease–specific large language model chat interface using retrieval-augmented generation
Jin Ge, Steve Sun, Joseph F. Owens et al.
2024 · Hepatology · 133 citations
BACKGROUND AND AIMS: Large language models (LLMs) have significant capabilities in clinical information processing tasks. Commercially available LLMs, however, are not optimized for clinical uses and are prone to generating hallucinatory information. Retrieval-augmented generation (RAG) is an enterprise architecture that allows the embedding of customized data into LLMs. This approach "specializes" the LLMs and is thought to reduce hallucinations. APPROACH AND RESULTS: We developed "LiVersa," a liver disease-specific LLM, by using our institution's protected health information-complaint text…
Explore this paper's citation graph on Constellation.