Machine Learning
Attention Mechanisms: Building Intuition Before the Equations
A conceptual walkthrough of what attention mechanisms actually do, working up from the original translation problem they were built to solve.
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A conceptual walkthrough of what attention mechanisms actually do, working up from the original translation problem they were built to solve.
What embeddings actually are, why distance in that space means something, and how to reason about them without wading through linear algebra.
A practical walkthrough of self-attention, multi-head attention, and positional encoding for engineers who need to reason about transformers, not just use them.