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Updated: Jul 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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随机和对抗性比特错误的稳定性:节能和安全的DNN加速器

David Stutz, Nandhini Chandramoorthy, Matthias Hein

    IEEE transactions on pattern analysis and machine intelligence
    |October 10, 2023
    PubMed
    概括

    深度神经网络 (DNN) 加速器可以在低压操作中节省能源,但易受比特错误的影响. 强大的培训方法可以提高DNN的安全性和能源效率,而无需进行硬件更改.

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