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Updated: Jun 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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利用大型语言模型来改善患者对干眼疾病的教育

Qais A Dihan1,2, Andrew D Brown3, Muhammad Z Chauhan3

  • 1Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.

Eye (London, England)
|December 16, 2024
PubMed
概括

大型语言模型 (LLM) 可以生成和改进干眼疾病 (DED) 的患者教育材料,使其易于阅读,准确和高质量. 这些人工智能工具在提高患者对DED的理解方面表现有前途.

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