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Updated: Mar 13, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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通过大型语言模型授权早期痴呆症患者的非正式照顾者:混合方法评估

Huayu Zhou1, Ziwei Zhu2, Kyeung Mi Oh3

  • 1Department of Information Sciences and Technology, College of Engineering and Computing, George Mason University, Research Hall Building, Room 211, 10401 York River Road, Fairfax, VA, 22030, United States, 1 2062291872.

JMIR formative research
|March 11, 2026
PubMed
概括

一个增强的ChatGPT-4o模型通过提供更相关和可操作的建议来改善痴呆症护理人员的支持,提高了用户满意度. 实验版本提供了实际指导,尽管准确性和安全性与基线没有显著差异.

关键词:
痴呆症早期阶段的痴呆症.人与人工智能的协作人与计算机的互动.非正式的护理人员.大型语言模型快速的工程迅速的工程

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