Large Language Models for Developers
A Prompt-based Exploration of LLMs
Volume in the series
Publisher:Mercury Learning and Information
By: Oswald Campesato
Paid access
|Dec 2024
Table of contents
Frontmatter
Contents
Preface
About the Contributor
Chapter 1: The Generative AI Landscape
Chapter 2: Prompt Engineering (1)
Chapter 3: Prompt Engineering (2)
Chapter 4: Well-Known LLMs and APIs
Chapter 5: Fine-Tuning LLMs (1)
Chapter 6: LLMs and Fine-Tuning (2)
Chapter 7: What is Tokenization?
Chapter 8: Attention Mechanism
Chapter 9: LLMs and Quantization (1)
Chapter 10: LLMs and Quantization (2)
Index
15 chapters available
PDF ISBN: 978-1-5015-2093-8 | E-Pub ISBN: 978-1-5015-2095-2 | Paperback ISBN: 978-1-5015-2356-4 | DOI: https://doi.org/10.1515/9781501520938
Publisher: Mercury Learning and Information
Copyright owner: © 2024 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2024
Language: English
Pages: 1012
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