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Updated: Jan 7, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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对抗微生物分类的大型语言模型的评估:对抗微生物管理计划的含义

Tan Vo1,2, Kushal Dahal1,2, Michael Klepser1,2

  • 1College of Pharmacy, Ferris State University, 220 Ferris Dr., Big Rapids, MI, 49307, USA.

Antimicrobial stewardship & healthcare epidemiology : ASHE
|December 25, 2025
PubMed
概括

大型语言模型 (LLM) 显示出对抗菌药物分类的前景,像Gemini和Claude这样的高性能模型达到99%以上的准确性. 有针对性的反显著改善了LLM的表现,帮助了抗菌药物管理工作.

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