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This project is a minimal, educational implementation of a GPT-style transformer language model built from scratch in Python. It provides clear, customizable code for core components like multi-head attention and feed-forward networks, making it ideal for developers and researchers seeking to understand or experiment with transformer architecture fundamentals.
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