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Updated: Jan 8, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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心理健康问卷中内容重叠的观察者独立评估:基于大型语言模型的研究

Annkathrin Böke1, Hannah Hacker1, Millennia Chakraborty1

  • 1Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Kerpener Str. 62, Cologne, 50931, Germany, 49 22147887150.

JMIR AI
|December 11, 2025
PubMed
概括

大型语言模型 (LLM) 客观地评估心理健康问卷的内容重叠. 生成式预训练变压器 (GPT) 方法与专家评级一致,证明了观察者独立分析的可行性.

关键词:
在 GPT 中,GPT 必须是 GPT.内容重叠的内容重叠.大型语言模型.问卷,问卷,问卷,问卷,问卷.斯伯特·贝尔特 (SBERT) 认为这是一个很好的选择.尺度的尺度的尺度的尺度.句子 双向编码器 来自变压器的表示症状重叠的症状重叠.

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