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Updated: May 17, 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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使用大型语言模型对视觉语言模型进行双适配器调整

Mohammad Reza Zarei1, Abbas Akkasi1, Majid Komeili1

  • 1School of Computer Science, Carleton University, Ottawa, ON Canada.

International journal of computational intelligence systems
|May 15, 2025
PubMed
概括

本研究为视觉语言模型 (VLMs) 引入了一种新的高效转移学习 (ETL) 方法. 它通过同时使用两个适配器样式和使用大型语言模型 (LLM) 生成属性特定提示来提高VLM性能.

关键词:
有效的学习转移学习.有几次射击学习学习.大型语言模型.视野 语言模型

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