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Updated: Sep 14, 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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DP2Unlearning:为LLMs提供一个高效和保证的学习框架

Tamim Al Mahmud1, Najeeb Jebreel1, Josep Domingo-Ferrer1

  • 1Universitat Rovira i Virgili, Department of Computer Engineering and Mathematics, CYBERCAT-Center for Cybersecurity Research of Catalonia, Av. Països Catalans 26, 43007, Tarragona Catalonia.

Neural networks : the official journal of the International Neural Network Society
|July 24, 2025
PubMed
概括

大型语言模型 (LLM) 现在可以使用DP2Unlearning有效地忘记数据,这是一个提供正式保证的新框架. 这种方法确保了数据隐私和模型实用性,成本低于再培训.

关键词:
大约取消学习.不同的隐私差异性隐私.准确的忘记学习.在法学士课程中,我们要忘记学习.维护隐私的LLM法学士学位

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques08:05

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