educational-implementation

Clean-room GPT-2/GPT-3 implementation: tokenizers, architecture blocks, training loop with AdamW + cosine decay, CLI scripts, inference tools, and pytest suite. Covers OpenWebText-10k & WikiText-103 workflows. Designed as an academic reference for understanding and scaling decoder-only transformers

Annotated study fork of Karpathy nanoGPT — GPT-2 training from scratch with extended notes on causal self-attention, positional encoding, layer norm placement, and efficient fine-tuning on custom datasets.