This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (311) Information Retrieval (287) Natural Language Processing (692) Diabetes Education and Elearning for Patients (114) Diabetes Self-Management (484) Artificial Intelligence in Diabetes Care and Prevention (29)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58041, first published .
Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Authors of this article:

Dingqiao Wang1 Author Orcid Image ;   Jiangbo Liang1 Author Orcid Image ;   Jinguo Ye1 Author Orcid Image ;   Jingni Li1 Author Orcid Image ;   Jingpeng Li1 Author Orcid Image ;   Qikai Zhang1 Author Orcid Image ;   Qiuling Hu1 Author Orcid Image ;   Caineng Pan1 Author Orcid Image ;   Dongliang Wang1 Author Orcid Image ;   Zhong Liu1 Author Orcid Image ;   Wen Shi1 Author Orcid Image ;   Danli Shi2 Author Orcid Image ;   Fei Li1 Author Orcid Image ;   Bo Qu3 Author Orcid Image ;   Yingfeng Zheng1 Author Orcid Image
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