A clean, step-by-step codebase building a Transformer model to demystify Large Language Models. It implements attention mechanisms, embeddings, and tokenization manually rather than relying on pre-built Hugging Face abstractions.
Tech Stack
Jupyter NotebookAI, ML & Data
Why gpt-from-scratch?
• Heavily commented code
• PyTorch based
• Reproducible training loop
Limitations
• Requires GPU for training
• Not pre-trained
• Complex math prerequisites
2/1/2025
Last Update
0
Forks
0
Issues
MIT
License
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