Understanding LLMs
Lesson 3 of 6
0%Lesson 3
45 min
The Transformer Architecture
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AI NarrationQuick Summary
Self-attention lets every token in a sequence look at every other token at once and decide which ones matter. That single idea, scaled up, is the engine inside every modern LLM.
What you will learn
- Understand how the Transformer's attention mechanism works conceptually
- Explain why attention solved the long-range dependency problem
- Understand multi-head attention and what it adds
Intermediate Content
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