In ML research, "grokking" is not used as a synonym for "generalization"; rather, it names a sometimes-observed delayed‑generalization training phenomenon in which training and …

Feb 3, 2025 · Grokking, or delayed generalization, is an intriguing learning phenomenon where test set loss decreases sharply only after a model’s training set loss has converged. This …

Grok may be the only English word that derives from Martian. Yes, we do mean the language of the planet Mars. No, we're not getting spacey; we've just ventured into the realm of science …

When Does Grokking Happen? It’s important to note that grokking is a contingent phenomenon — it goes away if model size, weight decay, data size and other hyper parameters aren’t just …

May 15, 2025 · Grokking forces us to reconsider established practices in training neural networks. It challenges the validity of early stopping criteria and suggests that a model appearing to …

Jul 11, 2025 · One such phenomenon is grokking. According to the Oxford English Dictionary, “to grok something” means “to understand something completely using your feelings rather than …

Grokking, or delayed generalization, is a phenomenon where generalization in a deep neural network (DNN) occurs long after achieving near zero training error. Previous studies have …

Nov 26, 2025 · Grokking implies experiential, embodied learning, something beyond surface-level exposure. It hints of an orientation towards fluid intuition, rather than rigid knowing or …

Jun 14, 2024 · One of the most intriguing is the phenomenon of grokking, where neural networks exhibit surprisingly delayed generalization, achieving high performance on unseen data long …

Last year, some researchers at OpenAI released a short paper called Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets. In this paper, they documented a curious …