Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
8.1
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AI & LLM
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Excellent educational skill for understanding and training GPT models from scratch. The description is comprehensive with clear CLI workflows for Shakespeare training, GPT-2 reproduction, fine-tuning, and custom datasets. Provides complete code examples, configs, and troubleshooting. Structure is well-organized with separate reference files for advanced topics. The skill offers meaningful value by packaging Karpathy's nanoGPT with practical workflows, though the novelty is moderate since it wraps an existing educational codebase. Minor room for improvement in cross-referencing the reference files more explicitly throughout workflows.
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