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Updated: Jan 16, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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阿斯克尔:用于医学文本生成的Python自然语言处理工具包

Rui Yang1,2, Qingcheng Zeng3, Keen You4

  • 1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.

ArXiv
|October 1, 2025
PubMed
概括

本研究介绍了Ascle,这是一个用户友好的自然语言处理 (NLP) 工具包,用于医学文本生成. 阿斯克尔增强了医学文本任务,如翻译和问答,为研究人员和临床医生提供了可访问的解决方案.

关键词:
生成型的人工智能 (GAI)医疗保健 医疗保健 医疗保健 医疗保健机器学习是机器学习.自然语言处理自然语言处理.

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