🌱 AI Engineering · How LLMs Work (Visual First) · cozy lesson
Transformer Architecture Simplified
14 min · 1 min read · no scary math, promise
🤖
You’ve got this. Read a little, play a little — I’ll wait. No rush.
LEGO stack
Tokens → embeddings + positions → N× [attention → MLP] → next-token head.
Play /animations/attention: query·key scores → weighted values. Multi-head = several views at once. KV-cache reuses past keys for speed.
You don’t need to derive softmax to use LLMs. Remember: context mixing + depth.
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Check your understanding
Correct answers earn XP (once each).
1. Self-attention does…
2. Transformer block =
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