Demystifying Attention: The Heart of Modern NLP

Attention transformed NLP by enabling models to weigh the importance of words in context much like how humans read. In this session, we’ll break down how queries, keys, and values interact through scaled dot-product attention and multi-head mechanisms. You’ll gain an intuitive and practical grasp of how models learn focus, interpret context, and generate meaning — equipping you to visualize and improve attention in your own transformer-based projects.