The goal of this workshop is to demystify the architecture by visualizing transformer models using clear explanations and hands-on coding exercises. No prior machine learning background is required. During the session, attendees will: 

• Explore the foundational components of transformer models, including embeddings and the attention mechanism. 

• Understand 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.