Build Your Own LLM From Scratch: A Hands-On GPT Training Workshop
By
kristianpaul
26d ago· 4 min readenCode
90/100
Golden Brown
Bagelometer↗
Master baker tier. Every paragraph earns its place on the tray.
Score90Typehow-toSentimentpositive
Summary
A hands-on workshop and GitHub repository that guides users through building their own GPT training pipeline from scratch, inspired by Andrej Karpathy's nanoGPT. The project strips down the complexity of nanoGPT to essential components, allowing learners to write every piece of a language model training pipeline and understand what each component does and why. It aims to give others the same transformative experience of seeing how a working language model can be built in a few hundred lines of PyTorch.
Key quotes
· 4 pulledAndrej Karpathy's nanoGPT was my first real exposure to LLMs and transformers.
Seeing how a working language model could be built in a few hundred lines of PyTorch completely changed how I thought about AI and inspired me to go deeper into the space.
This workshop is my attempt to give others that same experience.
This project strips it down to the essentials.
Contribute to angelos-p/llm-from-scratch development by creating an account on GitHub.
