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Updated: May 17, 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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评估大型语言模型,为癌症幸存者及其护理人员量身定制教育内容:质量分析

Darren Liu1,2, Xiao Hu1,2, Canhua Xiao1,3

  • 1Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Rd NE, Atlanta, GA, 30322, United States, 1 4042514072.

JMIR cancer
|April 7, 2025
PubMed
概括

大型语言模型 (LLM) 显示了为各种人群创建可访问的癌症教育材料的巨大潜力. 虽然在量身定制内容和翻译方面是有效的,但对于阅读水平和全面性需要进一步改进.

关键词:
在 GPT-4 中使用.癌症幸存者 癌症幸存者护理人员的护理人员教育教育教育教育的教育.卫生公平性健康公平性大型语言模型.

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