Transformer Models - Hands-On Workshop on Architecture and Modern Applications

Attend this 3-hour hands-on workshop to gain a clear, visual understanding of transformer architectures through engaging explanations and coding exercises, with no prior machine learning background required. Explore the foundational components of transformer models, including embeddings and the attention mechanism, while learning how modern techniques like Retrieval-Augmented Generation (RAG) and AI agents build upon transformers. Participate in a hands-on codelab to solidify concepts through practical implementation, guided by Luis Serrano's expert instruction that makes complex AI concepts accessible to learners at all levels.