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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

Introducing use cases of generative AI

Generative AI has already begun to disrupt various sectors. The technology is making waves across many disciplines, from enhancing language-based tasks to reshaping digital art. The following section offers examples of real-world applications of generative AI across different sectors:

  • Traditional natural language processing: LLMs, such as Open AI’s GPT series, have elevated traditional NLP and NLG. As discussed, these models have a unique ability to generate coherent, relevant, and human-like text. The potential of these models was demonstrated when GPT-3 outperformed classical and modern approaches in several language tasks, displaying an unprecedented understanding of human language. The release of GPT-4 and Claude 3 marked another milestone, raising the standard even further for state-of-the-art models.
  • Digital art creation: The advent of “generative art” is evidence of the radical impact of generative AI in...
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