AI Explained: Finally Understand the Magic of Transformers | Attention (Part 3)
Feeling overwhelmed by Transformer architecture diagrams? In this video, we break it down into simple pieces.
Feeling overwhelmed by Transformer architecture diagrams? In this video, we break it down into simple pieces. We ditch the massive algebraic formulas and explain the “Self-Attention” mechanism using a crowded cocktail party analogy.
What’s in the video (5m 41s)
- 0:00 — Introduction: Magic of Transformers | Attention
- 0:38 — Chapter 1 - The Concept - How AI Understand a Sentence?
- 0:58 — RNN vs Transformer | Attention
- 1:24 — Chapter 2 - The Example - Self-Attention
- 1:40 — What is Self-Attention?
- 3:01 — Transformer Architecture - Encoder vs Decoder
- 4:08 — Chapter 3 - The Takeaway - Real-World Impact of Transformer | Attention
- 4:48 — Key Recap: Attention is All you Need!
Resources
- Full AI Explained series: YouTube playlist
- Previous episode: https://youtu.be/A0QKjgsS4eQ
- Next episode: https://youtu.be/1pokuIgE_pA
For more in this series, visit the #ai tag page or jump to the channel uploads list for everything else.
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