Learn about transformer-based models in generative AI through this 13-minute tutorial that explains how these foundational architectures work and explores different types of generative AI systems. Discover the core mechanisms behind transformer models, including their attention mechanisms and how they process sequential data to generate new content. Explore various categories of generative AI applications that leverage transformer architectures, from text generation to multimodal systems. Gain insights into the technical foundations that power modern AI systems like large language models and understand how transformers have revolutionized the field of artificial intelligence through their ability to capture long-range dependencies and generate coherent, contextually relevant outputs.