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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 FREE CHAPTER
2. Chapter 1: Understanding Generative AI: An Introduction 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 1: Foundations of Generative AI and the Evolution of Large Language Models

This part provides an overview of generative AI and the role of large language models. It covers the basics of generative AI, different types of generative models, including GANs, diffusers, and transformers, and the foundational aspects of natural language processing. Additionally, it explores how pretrained generative models can be applied from prototype to production, setting the stage for more advanced topics.

This part contains the following chapters:

  • Chapter 1, Understanding Generative AI: An Introduction
  • Chapter 2, Surveying GenAI Types and Modes: An Overview of GANs, Diffusers, and Transformers
  • Chapter 3, Tracing the Foundations of Natural Language Processing and the Impact of the Transformer
    • Chapter 4, Applying Pretrained Generative Models: From Prototype to Production
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Generative AI Foundations in Python
Published in: Jul 2024
Publisher: Packt
ISBN-13: 9781835460825
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