GPT in 60 Lines of NumPy

GPT in 60 Lines of NumPy is a blog post and educational resource by Jay Mody that demonstrates how to implement the core ideas behind GPT (Generative Pretrained Transformer) language models using only 60 lines of NumPy code. It is aimed at students, researchers, and developers who want a foundational, hands-on understanding of transformer models without the overhead of large frameworks.