How Self-Attention Works in Transformers скачать в хорошем качестве

How Self-Attention Works in Transformers

Self-attention is the idea that changed everything in modern AI. In this video, we explain self-attention and multi-head attention from first principles. What attention means, how models decide which words matter, and why using multiple attention heads makes Transformers so powerful. You’ll learn: • What self-attention actually does • How words attend to other words in a sentence • Why attention replaces recurrence • What multi-head attention adds • Why Transformers scale so well This video is part of Notebook Learning, a channel focused on clear, visual explanations of complex topics in Data Science, Machine Learning, AI, and NLP. Whether you’re a beginner, student, or developer, this video will help you understand the core idea behind Transformers and LLMs in just a few minutes. 📘 New five-minute explainer videos coming regularly. #SelfAttention #MultiHeadAttention #Transformers #DeepLearning #NLP #AI #MachineLearning #NotebookLearning