Andrej Karpathy Releases ‘nanochat’: A Minimal, End-to-End ChatGPT-Style Pipeline You Can Train in ~4 Hours for ~$100
Andrej Karpathy has open-sourced nanochat, a compact, dependency-light codebase that implements a full ChatGPT-style stack—from tokenizer training to web UI inference—aimed toward reproducible, hackable LLM coaching on a single multi-GPU node. The repo provides a single-script “speedrun” that executes the complete loop: tokenization, base pretraining, mid-training on chat/multiple-choice/tool-use information, Supervised Finetuning (SFT), elective RL on…
