picoGPT implements GPT-2 entirely in NumPy with a focus on minimal, readable code. It includes a BPE tokenizer from OpenAI, code to download and load GPT-2 model weights, the transformer forward pass logic, and text generation. The project serves as an educational tool to understand how GPT models function by implementing the core architecture in under 60 lines of code, accompanied by a detailed blog post.