Explore the world of Transformers and their applications in AI technologies through this comprehensive conference talk from the Toronto Machine Learning Series (TMLS). Join speakers Ravij Shah, Machine Learning Engineer, and Andrew Jardine, Enterprise Account Executive at Hugging Face, as they delve into the innovative uses of Transformers in various AI applications. Learn how to leverage open-source tools and models to tackle real-world challenges such as auto-completion, semantic search, and document AI. Discover the potential of embeddings, gain insights into the rise of Generative AI, and understand the concept of transfer learning. Get a glimpse of emerging trends in multimodal, multi-task, and large language models. Benefit from practical demonstrations featuring notebooks, code snippets, and relevant paper references throughout this 1 hour and 23 minutes long presentation.