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Updated: Jun 10, 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

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一个基于认知行为疗法的新型生成人工智能工具 (苏格拉底2.0) 促进苏格拉底式对话:混合方法可行性研究协议

Philip Held1, Sarah A Pridgen1, Yaozhong Chen1

  • 1Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United States.

JMIR research protocols
|October 10, 2024
PubMed
概括

苏格拉底2.0,一个使用大型语言模型 (LLM) 的新人工智能治疗师,显示了自然心理健康对话的前景. 一项可行性研究正在进行中,以评估其在临床环境中的潜力.

关键词:
苏格拉底式对话认知性重组是一种认知性重组.的可行性和可行性.生成型的人工智能 (GAI)心理健康 心理健康手机电话 手机电话手机电话

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