Self Attention Explained

About this lesson

In this video, we go from absolute zero to understanding why Self-Attention is the single most important mechanism behind ChatGPT, Claude, Gemini, LLaMA, and every powerful modern AI. You’ll learn: Why computers can’t understand words (and how we convert text to numbers) One-Hot Encoding, Bag of Words, TF-IDF – and why they all failed How Word2Vec & GloVe (static word embeddings) capture meaning but completely miss context The “Apple” problem: why static embeddings think “Apple launched a phone” is about fruit The breakthrough: How Self-Attention creates dynamic, contextual embeddings that actually understand meaning in context Why mastering Self-Attention = mastering Transformers and all of Generative AI This is the clearest, most visual explanation of the journey from old-school NLP to the Transformer-powered AI.

Original Description