当前大型语言模型和检索增强代模型在慢性病中确定饮食原则时的准确性

Feray Gençer Bingöl1, Duygu Ağagündüz2, Mustafa Can Bingol3

  • 1Assistant Professor, Department of Nutrition and Dietetics, Faculty of Health Science, Burdur Mehmet Akif Ersoy University, Burdur, Türkiye.

概括

这项研究评估了AI聊天机器人对慢性病 (CKD) 的营养建议. 双子座和提取增强生成 (RAG) 显示了最高的准确性,在提供可靠的饮食信息方面表现优于其他模型.

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