Andre Karpathy Releases Nanochat, a Minimal Full-Stack ChatGPT Clone
Andre Karpathy has released `nanochat`, a minimal, from-scratch, full-stack training and inference pipeline for a simple ChatGPT clone in a single, dependency-minimal codebase. This repository provides a clean, educational, and highly hackable reference for developers to understand the end-to-end process of building and deploying a conversational LLM application. Unlike `nanoGPT` which focused only on pretraining, `nanochat` includes both training and inference pipelines, featuring around 8,000 lines of code and a Rust-based tokenizer.
## BACKGROUND
Andre Karpathy is well-known for creating educational repositories like `nanoGPT`, which explains the inner workings of GPT models. While pretraining teaches a model to predict the next token, building a ChatGPT-like assistant requires additional instruction tuning, inference setup, and a user interface.