wunder beta📘 Keep transformer from meaning RNN clone
Transformers replace recurrent step-by-step memory with parallel attention. Self-attention, heads, and positions are the mechanism — not a renamed RNN.
3
lessons
~15 min
to learn
Adults
level
What you’ll learn
- Why attention replaced stepsExplain why attention replaced recurrent bottlenecks.Parallel routing vs step-by-step state.
- Heads, positions, stacksDescribe heads, positions, and stacks.Multi-head attention and order signals.
- What the name actually meansKeep the transformer name tied to mechanism.Paper claim over branding.
Grounded in trusted sources
- Vaswani et al. (2017), Attention Is All You Need
- Illustrated transformer / attention primers
- Encoder-decoder vs decoder-only overviews
- Multi-head attention teaching notes
- Positional encoding primers
- Compute/context-length cost notes
Every Wunder lesson is built from real, reputable sources — never invented.
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