“Transformers for Natural Language Processing, Second Edition, is a reference for everyone interested in understanding how transformers work both from a theoretical and practical perspective. The author does a tremendous job of explaining how to use transformers step by step with a hands-on approach. After reading this book, you will be ready to use this state-of-the-art set of techniques for empowering your deep learning applications, including popular models such as BERT, RoBERTa, T5, and GPT-3.

The first edition always has a place on my desk, and now so will the second edition.”

—Antonio Gulli, Engineering Director for the Office of the CTO, Google

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.

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