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Updated: Jul 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

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关于注意力和增强对于域调整和泛化中的假设转移的重要性

Rajat Sahay1, Georgi Thomas1, Chowdhury Sadman Jahan1

  • 1Rochester Institute of Technology, Rochester, NY 14623, USA.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

计算机视觉中的注意力机制,特别是ConvNeXt和SWIN变压器,显著改善了无监督域适应 (UDA). 在源假设转移 (SHOT) 框架内的现代化培训进一步提高了性能,特别是对于空中数据集.

关键词:
卷积神经网络是一种卷积神经网络.域名适应 域名适应域名通用化域名通用化视觉变压器 视觉变压器

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