Jay Mody • 1/30/2023

GPT in 60 Lines of NumPy

This educational article provides a step-by-step implementation of a Generative Pre-trained Transformer (GPT) using just 60 lines of NumPy. It explains the core components like embeddings, decoder blocks, and attention mechanisms, and demonstrates how to load OpenAI's trained GPT-2 weights to generate text. The post is aimed at developers with Python and neural network experience, focusing on a minimal, clear implementation for learning purposes.

0 comments

#Neural Networks #Gpt #Numpy