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The Transformer, Derived from First Principles

Build the complete transformer architecture by deriving each component from the problem it solves.

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What you'll unlock:

  • 1. The Sequence Modelling Problem
  • 2. Scaled Dot-Product Attention: Derivation
  • 3. Multi-Head Attention
  • 4. Positional Encodings and RoPE
  • 5. Feed-Forward Networks as Memory
  • 6. Layer Normalisation and Training Stability
  • 7. Full Transformer Forward Pass: End-to-End with Shapes
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