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title: README
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nanochat students
Welcome to the nanochat students organization! This is a community organization for students following Andrej Karpathy's nanochat course. We are learning to build a full-stack LLM implementation from tokenization to web serving, all for under $100.
What is nanochat?
nanochat is a complete implementation of an LLM like ChatGPT in a minimal, hackable codebase. It's designed as the capstone project for the LLM101n course by Eureka Labs, teaching you to build and train your own ChatGPT clone end-to-end.
What You'll Find Here
This organization hosts community-contributed resources to help you learn and succeed with nanochat. You'll find:
- notebooks that break down the implementation.
- spaces that demo or illustrate the concepts we’re learning.
- trained models and checkpoints from the community
- relevant curated datasets.
Getting Help and Sharing Ideas
The Discussions section is where you can ask questions, share your training results and report cards, discuss optimization techniques, and collaborate on experiments.
Contributing
We welcome contributions from all students or experts. Here's how you can help:
- Notebooks: make tutorials or experiments that explain concepts from the code.
- Demos: make interactive demos or tools as Spaces
- Models Share your trained checkpoints with training details
- Help: Answer questions in discussions
- Articles: Write guides based on your experience and share them.
If you make anything, share it in this discussion thread
Resources
- nanochat repo - karpathy/nanochat
- Introduction post: "Introducing nanochat: The best ChatGPT that $100 can buy"