Back to Module 1.9: Self-AttentionIn Progress
AI Lesson & Submodule
Attention Interview Guide
Prepare for mathematical questions focused on attention layers.
Why This Matters
Attention math is the most heavily grilled topic in AI engineering design panels.
What You Will Learn
- •Explain sqrt(dk) scaling
- •Derive space complexity
- •Draw QKV flows
Concepts Covered
Scaled dot product formulasQuadratic space scalesData routing diagrams
Mapped Foundation Project: Mini Attention Notebook
Self-contained interactive workbook computing step-by-step scaled dot-product attention scores from raw matrices input.
Architecture Preview
Dynamic math workbook running forward projections, scaling matrix outputs, and plotting soft heatmaps.
Character Tokens ArrayQKV Projections WeightsQK Dot Product Score
Tech Stack Planned
ReactTypeScriptMath.js
Technical Interview Value
- ?Write out the full scaled dot-product attention equation, defining every variable dimension