GPT in 60 Lines of NumPy

GPT in 60 Lines of NumPy is a blog post/tutorial by Jay K. Mody that demonstrates how to build a minimal GPT-like language model entirely using NumPy in just 60 lines of Python. Aimed at developers and learners interested in the inner workings of large language models, the guide emphasizes educational value by showing core concepts and components behind GPT models without reliance on deep learning libraries. It's ideal for those wanting to understand and experiment with basic transformer architectures from scratch.