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Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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使用大型语言模型比较日本文本中识别失明的准确性

Ayako Yagahara1, Haluna Mori1, Naoki Nishimoto2

  • 1Department of Radiological Technology, Hokkaido University of Science.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括

这项研究评估了用于提取个人信息的大型语言模型 (LLM). 伯特在识别名字和位置方面表现出最高的准确性,因此非常适合用于非识别工具.

关键词:
贝尔特 (BERT) 公司聊天GPT 聊天 在GPT 聊天取消身份识别 取消身份识别

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