Advanced NLP: Introduction to Transformer Models

With recent advancements in cheap GPU compute power and natural language processing (NLP) research companies and researchers have introduced many powerful models and architectures that have taken NLP to new heights. In this course learn about Transformer models like Bert and GPT and the maturity of AI in NLP areas due to these models. Next examine the fundamentals of Transformer models and their architectures. Finally discover the importance of attention mechanisms in the Transformer architecture and how they help achieve state-of-the-art results in NLP tasks. Upon completing this course youll be able to understand different aspects of Transformer architectures like the self-attention layer and encoder-decoder models.