Introduction Grokking is a groundbreaking phenomenon in deep learning where neural networks suddenly exhibit rapid improvement after long periods of apparent stagnation. Initially observed by OpenAI researchers, grokking has intrigued the machine learning community due to its implications on how networks generalize and learn patterns. The advanced nature of grokking suggests that deep learning models … Continue reading Grokking in Deep Learning: Advanced Concepts, Code Implementations, and Future Directions