Reply: Refining retrieval and chunking strategies for enhanced clinical reliability of large language models in liver disease

Affiliations

¹ Department of Medicine, Division of Gastroenterology and Hepatology, University of California-San Francisco, San Francisco, California, USA.
² UCSF Health Information Technology, University of California-San Francisco, San Francisco, California, USA.
³ Bakar Computational Health Sciences Institute, University of California-San Francisco, San Francisco, California, USA.
⁴ Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, California, USA.

Jin Ge et al. Hepatology. 2024.

. 2024 Nov 1;80(5):E69-E70.

doi: 10.1097/HEP.0000000000000995. Epub 2024 Jun 27.

¹ Department of Medicine, Division of Gastroenterology and Hepatology, University of California-San Francisco, San Francisco, California, USA.
² UCSF Health Information Technology, University of California-San Francisco, San Francisco, California, USA.
³ Bakar Computational Health Sciences Institute, University of California-San Francisco, San Francisco, California, USA.
⁴ Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, California, USA.

No abstract available

References

1. Ge J, Sun S, Owens J, Galvez V, Gologorskaya O, Lai JC, et al. Development of a liver disease-specific large language model chat interface using retrieval-augmented generation. Hepatology. 2024. doi: 10.1097/HEP.0000000000000834 - DOI
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1. Release v0.1.16. langchain-ai/langchain. GitHub. Accessed May 15, 2024. https://github.com/langchain-ai/langchain/releases/tag/v0.1.16
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