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Updated: Feb 24, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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在文本总结任务中应用的小语言模型与健康相关的新闻,以改善公共卫生审计:一个实验案例研究

Alysson Guimarães1, Methanias Colaço Junior1,2, Samuel Santana De Almeida1

  • 1Postgraduate Program in Computer Science (PROCC), Federal University of Sergipe, São Cristóvão, Brazil.

Frontiers in artificial intelligence
|February 23, 2026
PubMed
概括

小语言模型 (SLMs) 在总结医疗保健审计数据方面表现优异,与人类总结相比. 这些人工智能工具可以减少信息过载,提高审计效率和团队为操作任务做好准备.

关键词:
抽象的通用总结 抽象的通用总结自动文本总结自动文本总结提取性的通用总结 提取性的通用总结小型语言模型.文本总结 文本总结 文本总结

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