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Updated: Sep 13, 2025

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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在范围审查中利用开源大型语言模型 (LLM):关于残疾和AI应用的案例研究.

Azadeh Bayani1, Leandre Parfait Epoh Ewane2, Davllyn Santos Oliveira Dos Anjos1

  • 1Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montréal, Canada; Laboratoire Transformation Numérique en Santé (LabTNS), Québec, Canada.

International journal of medical informatics
|July 29, 2025
PubMed
概括

大型语言模型 (LLM) 显示出自动化科学审查的前景,但人类监督对于最佳结果至关重要. 将LLM与人类判断相结合,提高了审查准确性和可重复性.

关键词:
自动化自动化自动化自动化自动化障碍障碍是指残疾人的残疾.大型语言模型.范围审查 范围审查

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