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- Add detailed architectural overview of complete GPT system - Include step-by-step explanations before each component implementation - Add comprehensive ASCII diagrams showing: * Complete GPT architecture with embedding + transformer blocks + output head * Pre-norm transformer block structure with residual connections * Layer normalization process visualization * MLP information flow and parameter scaling * Attention memory complexity and scaling laws * Autoregressive generation process and causal masking - Enhance mathematical foundations with visual representations - Improve systems analysis with memory wall visualization - Follow MANDATORY pattern: Explanation → Implementation → Test - Maintain all existing functionality while dramatically improving clarity - Add context about why transformers revolutionized AI and scaling laws