Is Grokking a Computational Glass Relaxation?

arXiv — cs.LGFriday, October 31, 2025 at 4:00:00 AM
A recent study explores the intriguing phenomenon of grokking in neural networks, where these systems suddenly generalize after achieving near-perfect training performance. This research sheds light on the underlying mechanisms of generalizability in deep learning, offering valuable insights that could enhance the development of more effective AI models. Understanding grokking not only advances academic knowledge but also has practical implications for improving AI applications across various fields.
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