DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...

Abstract: Real-time movie recommendation systems must efficiently handle large amounts of sparse user-item interaction data while maintaining great prediction accuracy. Conventional collaborative ...

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Abstract: Aiming at the fault localization challenges brought by distributed PV power access, this paper proposes a hybrid optimal localization method combining the improved matrix algorithm with the ...

A state-of-the-art framework for intelligent cloud load balancing using Deep Reinforcement Learning. This project bridges the gap between cloud simulation and AI-driven optimization, providing ...