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Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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探索ChatGPT的AI幻觉:ChatGPT模型和培训条件的参考准确性和引用相关性

Adam Cheng1, Vikhashni Nagesh, Susan Eller

  • 1From the KidSIM Simulation Program (A.C.), Alberta Children's Hospital, Departments of Pediatrics and Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Pediatrics (V.N.), Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Center for Immersive and Simulation-Based Learning (S.E.), Stanford School of Medicine, Stanford, CA; Departments of Pediatrics and Emergency Medicine (V.G.), Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; and KidSIM Simulation Program (Y.L.), Alberta Children's Hospital, Calgary, Alberta, Canada.

Simulation in healthcare : journal of the Society for Simulation in Healthcare
|August 7, 2025
PubMed
概括

像ChatGPT这样的生成人工智能工具在医疗保健模拟文章中引用引用时不可靠. 培训提示不会提高这些AI模型生成的引用的准确性或相关性.

关键词:
人工智能的人工智能是人工智能.聊天GPT 聊天GPT 聊天学术写作学术写作解答简报 解答简报引用是指指引用的引用.

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