Demystifying Transformers: A Visual Guide to Multi-Head Self-Attention | Quick & Easy Tutorial!

🚀In this video, we explain the Multi-Head Self-Attention mechanism used in Transformers in just 5 minutes through a simple visual guide! 🚀The multi-head self-attention mechanism is a key component of transformer architectures, designed to capture complex dependencies and relationships within sequences of data, such as natural language sentences. Let's break down how it works and discuss its benefits: 🚀How Multi-Head Self-Attention Works: 1. Single Self-Attention Head: - In traditional self-attention, a single set of query (Q), key (K), and value (V) transformations is applied to the …