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    build nanoGPT

    build nanoGPT

    Video+code lecture on building nanoGPT from scratch

    ...The accompanying video lecture explains how the code develops into a reproduction of the 124-million-parameter GPT-2 model. The project covers tokenization, transformer architecture, optimization, distributed training, data loading, and performance improvements. It includes FineWeb data preparation and HellaSwag evaluation utilities. With sufficient computing resources, the same general code can scale toward larger GPT-3-style configurations. The repository focuses on pretraining rather than instruction tuning or conversational fine-tuning.
    Downloads: 0 This Week
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