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Updated: Jun 3, 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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合成-CLIP:合成数据使CLIP在数据有限的场景中更好地泛化

Mushui Liu1, Weijie He1, Ziqian Lu2

  • 1College of Information Science and Electronic Engineering, Zhejiang University, China.

Neural networks : the official journal of the International Neural Network Society
|January 7, 2025
PubMed
概括

Synth-CLIP使用合成数据增强视觉语言模型 (VLMs),以改善对新课程的概括,即使现实数据有限. 这种方法有效地扩大了数据集,并丰富了类别的多样性,以提高性能.

关键词:
这就是CLIP CLIP.数据有限的场景.一般化 一般化 一般化合成样品的合成样品视觉语言模型 视觉语言模型

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