Retrieval-augmented generation versus document-grounded generation: a key distinction in large language models.
作者信息
Koga Shunsuke, Ono Daisuke, Obstfeld Amrom
机构信息
Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
出版信息
J Pathol Clin Res. 2025 Jan;11(1):e70014. doi: 10.1002/2056-4538.70014.
Abstract
摘要
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Authors' reply: Re: Koga et al. Retrieval-augmented generation versus document-grounded generation: a key distinction in large language models.作者回复：关于Koga等人的文章《检索增强生成与基于文档的生成：大语言模型中的关键区别》
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