Transformers & Attention Explained: The Secret Behind ChatGPT | AI Explained #9

Transformers & Attention Explained Simply – episode 9 of AI Concepts Explained, a free beginner-friendly artificial intelligence and machine learning course by Irfan Hayat. The transformer is the architecture behind modern AI chatbots. Irfan Hayat explains attention, self-attention, queries, keys and values, multi-head attention and positional encoding with animated diagrams and a NumPy attention example. What you'll learn • Why older sequence models struggled • The idea of attention with an everyday example • Queries, keys and values • Self-attention in NumPy • Multi-head attention, positions and transformer blocks Chapters 00:00 Intro 00:59 The problem with reading in order 02:01 Attention intuition 03:19 Self-attention in NumPy 04:36 Multi-head attention and positions 05:40 The transformer block 06:50 Recap 07:42 Next: How LLMs work Altered or synthetic content: The presenter visuals and narration in this video are AI-generated/AI-assisted from the instructor's own photo and an original teaching script. All diagrams, code, and explanations are original. Family-friendly educational content. No music, third-party footage, or logos are used. #Transformers #DeepLearning #ArtificialIntelligence