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Overfitting

When a model memorizes training data instead of learning general patterns, performing well on training examples but poorly on new inputs.

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Understanding Micrograd Build a neural network from scratch — Karpathy's autograd engine, neurons, layers, and training — in pure Python with zero dependencies.
Understanding microGPT Walk through Karpathy's 200-line GPT implementation — from autograd and tokenization to multi-head attention, training, and text generation.
Understanding Makemore Build character-level language models from scratch — from bigram counting through MLPs, batch normalization, and WaveNet — generating new names with PyTorch.

lessons

Training and Hyperparameters Understanding Makemore / The MLP Language Model
The Training Loop Understanding microGPT / Training
The Loss Function Understanding Micrograd / Training

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