评估大型语言模型和检索增强生成增强,以提供符合指导方针的营养信息,以预防心血管疾病:跨部门研究

Vijaya Parameswaran1, Jenna Bernard2, Alec Bernard1

  • 1School of Medicine, Stanford University, Palo Alto, CA, United States.

概括

提取增强生成 (RAG) 增强的大型语言模型 (LLM) 为预防心血管疾病 (CVD) 提供了比标准LLM更可靠和符合指南的营养建议. RAG集成提高了基于证据的饮食建议的LLM准确性和安全性.

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