GPT in 60 Lines of NumPy
Read OriginalThis 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
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
Top picks — 2026 January
Paweł Grzybek
•
1 votes
4
In Praise of –dry-run
Henrik Warne
•
1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
6
Vibe coding your first iOS app
William Denniss
•
1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
8
Quoting Thariq Shihipar
Simon Willison
•
1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes