June 6, 2024, 4:15 a.m. | Sajjad Ansari

MarkTechPost www.marktechpost.com

Grokking is a newly developed phenomenon where a model starts to generalize well long after it has overfitted to the training data. It was first seen in a two-layer Transformer trained on a simple dataset. In grokking, generalization occurs only after many more training iterations than overfitting. This requires high computational resources, making it less […]


The post GROKFAST: A Machine Learning Approach that Accelerates Grokking by Amplifying Slow Gradients appeared first on MarkTechPost.

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