Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction
Chapter 2: Tokenization
Chapter 3: Transformer Architecture Introduction
Chapter 4: Transformer Architecture in Greater Depth
Chapter 5: The BERT Family Introduction
Chapter 6: The BERT Family in Greater Depth
Chapter 7: Working with GPT-3 Introduction
Chapter 8: Working with GPT-3 in Greater Depth
Chapter 9: ChatGPT and GPT-4
Chapter 10: Visualization with Generative AI
Index
14 chapters available
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PDF ISBN: 978-1-68392-897-3 | E-Pub ISBN: 978-1-68392-896-6 | Paperback ISBN: 978-1-68392-898-0 | DOI: 10.1515/9781683928973
Publisher: Mercury Learning and Information
Copyright owner: © 2024 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 364
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