Transformer Architecture Explained

This course introduces the Transformer architecture, the foundation of modern natural language processing and large language

You will learn how attention mechanisms replace traditional sequence models, understand the core components of Transformers, and explore how they are used in real-world NLP tasks. The course includes conceptual explanations and a practical implementation using PyTorch.

els. You will learn how attention mechanisms replace traditional sequence models, understand the core components of Transformers, and explore how they are used in real-world NLP tasks. The course includes conceptual explanations and a practical implementation using PyTorch.