Textbook in PDF format

Today's AI breakthroughs, from ChatGPT to modern NLP models, are powered by a game-changing innovation: the attention mechanism, which this book explores from foundational concepts to practical implementations. Traditional models like RNNs and LSTMs struggle with long sequences, but transformers, driven by attention, have unlocked extraordinary capabilities. This book, Building Transformer Models with Attention, provides a hands-on guide to this revolutionary technology, starting with core principles and moving to practical implementations that can be applied to real-world AI applications. You'll learn:

• Core attention mechanisms and their variations
• Step-by-step code examples to build reusable attention components
• A complete walkthrough of creating your own transformer model