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NanoChat: Building ChatGPT for $100
Comprehensive technical analysis of Andrej Karpathy's nanochat project. Deep dives into architecture, training pipeline, optimizers, and proposals for evolving this minimal LLM implementation.
active13 / 13 episodes•293 min total•intermediate
Series Progress100%
What You'll Learn
- ✓Train a complete LLM from scratch in 4 hours
- ✓Understand the full training pipeline: tokenization to deployment
- ✓Implement custom optimizers (Muon) and training techniques
- ✓Deploy a working ChatGPT-like interface
Episodes by Track
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Technical Deep Dives
In-depth explorations of the technical components: optimizers, architecture, distributed training, and advanced implementation details.
7 posts
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Practical Guides
Step-by-step tutorials and hands-on guides for building, training, and deploying your own ChatGPT-like model.
6 posts