Transformer, BERT, and GPT : : Including ChatGPT and Prompt Engineering / / Oswald Campesato.
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, explo...
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Superior document: | Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English |
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2023] ©2023 |
Year of Publication: | 2023 |
Language: | English |
Series: | MLI Generative AI Series
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Online Access: | |
Physical Description: | 1 online resource (364 p.) |
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100 | 1 | |a Campesato, Oswald, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Transformer, BERT, and GPT : |b Including ChatGPT and Prompt Engineering / |c Oswald Campesato. |
264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2023] | |
264 | 4 | |c ©2023 | |
300 | |a 1 online resource (364 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a MLI Generative AI Series | |
505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Chapter 1: Introduction -- |t Chapter 2: Tokenization -- |t Chapter 3: Transformer Architecture Introduction -- |t Chapter 4: Transformer Architecture in Greater Depth -- |t Chapter 5: The BERT Family Introduction -- |t Chapter 6: The BERT Family in Greater Depth -- |t Chapter 7: Working with GPT-3 Introduction -- |t Chapter 8: Working with GPT-3 in Greater Depth -- |t Chapter 9: ChatGPT and GPT-4 -- |t Chapter 10: Visualization with Generative AI -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a 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. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) | |
650 | 0 | |a Artificial intelligence |x Computer programs. | |
650 | 0 | |a Artificial intelligence. | |
650 | 0 | |a Human-computer interaction. | |
650 | 0 | |a Natural language processing (Computer science). | |
650 | 0 | |a Software engineering. | |
650 | 7 | |a COMPUTERS / General. |2 bisacsh | |
653 | |a natural language processing, expert systems, visualization, AI, artificial intelligence, deep learning, machine learning, computer science. | ||
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773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t MLI and ITGP STEM IT PACKAGE |z 9783111574073 |
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776 | 0 | |c EPUB |z 9781683928966 | |
776 | 0 | |c print |z 9781683928980 | |
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