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 held‑out performance do …

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 challenges …

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 considering …

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 overfit might …

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 right. With …

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 fiction. Grok …

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 memorization.

Apr 11, 2025 · Grokking describes when an AI system appears to suddenly "get it" after a lengthy period of seemingly minimal progress. Initially, the AI memorizes training examples without grasping …

Grokking is a fascinating phenomenon where a model, after a period of apparent stagnation, suddenly experiences a rapid and significant improvement in performance.

Grok lets you automate processes that previously required manual adjustment. This is easier to grok when you see it in action, but that process transforms physical drums into virtual spaces, capable of …