相关实验视频

Updated: Jan 10, 2026

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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通过远程测量数据混合和对抗性培训进行强大的深度主动学习.

Shinan Song1, Xing Wang1, Shike Dong2

  • 1School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China.

Entropy (Basel, Switzerland)
|November 26, 2025
PubMed
概括

本研究介绍了远程测量数据混合 (DM2),这是一个新的主动学习框架. DM2通过捕捉样本间的关系来改善数据选择,从而通过更少的标记样本来提高学习效率.

关键词:
积极学习是积极学习.数据选择数据选择坚固性 坚固性 坚固性不确定性估计估计的不确定性

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