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

Generative Language Models Including ChatGPT (440) Information Retrieval (321) Natural Language Processing (770) Diabetes Education and Elearning for Patients (123) Diabetes Self-Management (521) Artificial Intelligence in Diabetes Care and Prevention (33)

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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めかぶ めかぶ @mecabpro

医療ドメインのRAGについて論文探してましたが、そんなに多くは無さそうですね。 腎臓病や糖尿病領域ではありましたが、少ないので研究の余地はありそうです。 https://t.co/ViS4nGhYHj　こちらはRAGにプロンプト最適化とレスポンス最適化が行われて面白い構造でした。

10:31 PM · Dec 24, 2024

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