The researchers from Peking University have proposed a novel algorithm, Safe Reinforcement Learning from Human Feedback (Safe RLHF), aimed at enhancing the safety and performance of Large Language Models (LLMs)….
Continue readingThis academic paper discusses the potential of N:M fine-grained structured sparsity in reducing the computational cost of Deep Neural Networks (DNNs) while maintaining accuracy. It proposes a bidirectional weight pruning…
Continue readingThe paper “The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks” dives into the fascinating subject of how neural networks, when trained on algorithmic tasks that…
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