Dive into a comprehensive video lecture on transformer architectures, focusing on their application in generative music AI. Explore the intuition, theory, and mathematical formalization behind transformers, which have become dominant in deep learning across various fields. Gain insights into the encoder structure, self-attention mechanisms, multi-head attention, positional encoding, and feedforward layers. Follow along with step-by-step explanations of each component, including visual recaps and key takeaways. Enhance your understanding of this powerful deep learning architecture and its potential in audio and music processing.