Transformer Attention Explained By Example

Attention mechanism is key in Transformer models. It's a big idea in recent years but not easy to understand. In this video, I explain the attention mechanism from the start. We'll look at Scaled Dot Product Attention, and how Key, Query, and Value matrices are trained. Plus, we'll see how these parts make up an Attention Head or Attention Layer. If you're interested in AI and Transformers, this video makes it easy to understand this important part.

📹 Video about the Transformer Architecture:
   • Transformers Explained by Example  

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Timestamps:
00:00 Intro
00:22 What is Attention
00:55 What are Attention Layers or Attention Heads
02:55 What is Multi-Head Attention Layer
04:23 What's in an Attention Layer
05:00 The Attention Function
11:36 Normalisation
14:19 Putting it all together
16:07 Masked Attention
17:48 Cross Attention

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