Build GPT-2 from Scratch in PyTorch: A Full Walkthrough
How to build GPT-2 from scratch in PyTorch: tokenization, causal self-attention, transformer blocks, weight tying, and a 124M training loop that runs.
How to build GPT-2 from scratch in PyTorch: tokenization, causal self-attention, transformer blocks, weight tying, and a 124M training loop that runs.
How does backpropagation work? Build a working autograd engine from scratch in ~80 lines of Python: computation graphs, chain rule, reverse-mode autodiff.