Master Multi-headed attention in Transformers | Part 6

Learn With Jay · Beginner ·🧠 Large Language Models ·1y ago
Unlock the power of multi-headed attention in Transformers with this in-depth and intuitive explanation! In this video, I break down the concept of multi-headed attention in Transformers using a relatable analogy - Just as multiple RAM modules handle different data simultaneously for better performance, Multi-headed attention processes diverse patterns in parallel to improve understanding of language. We answer the fundamental question, why just 1 head of Self-attention is not enough? What you'll learn: ✅ Why multi-headed attention is essential for modern machine learning.✅ How it works step …
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Chapters (9)

Intro
0:41 Self-attention overview
2:13 Why one head is not enough?
4:52 Analogy of RAM
6:37 Analogy of Convolutional Neural Networks
7:47 Working of Multi-head Attention
12:09 Why need Linear Transformation?
14:33 How many number of Heads to use?
16:42 Outro
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Dave Ebbelaar (LLM Eng)