Advanced Concepts in Transformers for Deep Learning

Advanced Concepts in Transformers for Deep Learning goes beyond explaining what transformer architectures do to reveal why they work and how to extend them for modern applications in large language models (LLMs), generative AI, and deep learning. It is written for researchers and machine learning engineers who have outgrown introductory treatments and need rigorous mathematical and implementation-level understanding of advanced AI.

The book develops genuine mathematical fluency across the ...