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Generative AI Foundations in Python

You're reading from   Generative AI Foundations in Python Discover key techniques and navigate modern challenges in LLMs

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835460825
Length 190 pages
Edition 1st Edition
Languages
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Author (1):
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Carlos Rodriguez Carlos Rodriguez
Author Profile Icon Carlos Rodriguez
Carlos Rodriguez
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Table of Contents (13) Chapters Close

Preface 1. Part 1: Foundations of Generative AI and the Evolution of Large Language Models
2. Chapter 1: Understanding Generative AI: An Introduction FREE CHAPTER 3. Chapter 2: Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers 4. Chapter 3: Tracing the Foundations of Natural Language Processing and the Impact of the Transformer 5. Chapter 4: Applying Pretrained Generative Models: From Prototype to Production 6. Part 2: Practical Applications of Generative AI
7. Chapter 5: Fine-Tuning Generative Models for Specific Tasks 8. Chapter 6: Understanding Domain Adaptation for Large Language Models 9. Chapter 7: Mastering the Fundamentals of Prompt Engineering 10. Chapter 8: Addressing Ethical Considerations and Charting a Path Toward Trustworthy Generative AI 11. Index 12. Other Books You May Enjoy

Part 2: Practical Applications of Generative AI

This part focuses on the practical applications of generative AI, including fine-tuning models for specific tasks, understanding domain adaptation, mastering prompt engineering, and addressing ethical considerations. It aims to provide hands-on insights and methodologies for effectively implementing and leveraging generative AI in various contexts with a focus on responsible adoption.

This part contains the following chapters:

  • Chapter 5, Fine-Tuning Generative Models for Specific Tasks
  • Chapter 6, Understanding Domain Adaptation for Large Language Models
  • Chapter 7, Mastering the Fundamentals of Prompt Engineering
  • Chapter 8, Addressing Ethical Considerations and Charting a Path toward Trustworthy Generative AI
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