Transformer, BERT, and GPT: Including ChatGPT and Prompt Engineering (MLI Generative AI Series)
This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book.
Publisher : Mercury Learning and Information
Publication date : December 29, 2023
Edition : 1st
Language : English
Print length : 364 pages
ISBN-10 : 1683928989
ISBN-13 : 978-1683928980
Item Weight : 1.45 pounds
Dimensions : 5.98 x 0.63 x 9.06 inches
Best Sellers Rank: #1,166,320 in Books (See Top 100 in Books) #480 in Natural Language Processing (Books) #490 in Artificial Intelligence Expert Systems #2,559 in Artificial Intelligence & Semantics
Customer Reviews: 4.0 4.0 out of 5 stars 1 rating var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
Original price was: $58.99.$27.04Current price is: $27.04.
Price: $58.99 - $27.04
(as of Oct 13, 2025 00:34:23 UTC – Details)
This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book.
Publisher : Mercury Learning and Information
Publication date : December 29, 2023
Edition : 1st
Language : English
Print length : 364 pages
ISBN-10 : 1683928989
ISBN-13 : 978-1683928980
Item Weight : 1.45 pounds
Dimensions : 5.98 x 0.63 x 9.06 inches
Best Sellers Rank: #1,166,320 in Books (See Top 100 in Books) #480 in Natural Language Processing (Books) #490 in Artificial Intelligence Expert Systems #2,559 in Artificial Intelligence & Semantics
Customer Reviews: 4.0 4.0 out of 5 stars 1 rating var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });

Original price was: $58.99.$27.04Current price is: $27.04.