Prompt Engineering
eBook - ePub

Prompt Engineering

Hands-on guide to prompt engineering for AI interactions (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Prompt Engineering

Hands-on guide to prompt engineering for AI interactions (English Edition)

About this book

Description
The power of AI and ML can only be harnessed if one knows how to utilize it effectively. This book serves as your accessible guide to understanding the core principles and the exciting world of prompt engineering, a crucial skill in today's AI-driven landscape. Whether you are a curious beginner or a tech enthusiast, this book will illuminate the path to mastering intelligent interactions with AI.Explore the evolution of AI and ML, starting with foundational concepts and historical milestones, progressing to the fascinating realm of generative models and the revolutionary rise of transformer architectures like GPT. Discover the art and science behind crafting effective prompts, exploring various prompt types, understanding the significance of tokens and syntax, and implementing efficiency strategies. You will gain insights into practical tools and platforms, alongside a crucial understanding of the ethical and societal implications and the financial considerations of working with AI. Finally, explore real-world applications through examples of cutting-edge chatbots and AI systems. The book covers ethical practices and best practices that help users achieve efficiency while also considering AI's broader impacts on privacy, security, and fairness.By the end of this book, you will possess a solid understanding of the technological underpinnings of modern AI and the practical expertise to engineer compelling and effective prompts. You will be well-equipped to navigate the evolving world of AI and leverage its capabilities with confidence and competence.

What you will learn
? Grasp AI/ML Foundations, historical context, diverse learning paradigms, and core concepts.
? Understand AI, ML Foundations, Transformer-based systems, and the future directions of prompt engineering.
? Explore generative models' development, GAN mechanics, and the shift towards transformers.
? Comprehend transformer architecture, self-attention, and the rise of GPT-like models.
? Master transformer models' pivotal role and application in effective prompt engineering.
? Analyze GPT model architecture, training, language modeling, and diverse applications.
? Define prompt engineering, its objectives, components, and evaluation methodologies.

Who this book is for
This book is tailored for AI professionals, developers, and enthusiasts aiming to deepen their practical AI interaction skills. It also benefits educators, tech industry workers, and individuals involved in designing or implementing AI solutions in their workflows, requiring a foundational understanding of fundamental technology concepts.

Table of Contents
1. A Brief Overview of ML and AI
2. Evolution of Machine Learning
3. Development of Generative Models
4. Rise of GPT and Transformer-Based Models
5. Transformer-based Models in Prompt Engineering
6. Transformer Architecture Concepts
7. The Prompt Ecosystem
8. Prompt Types In-Depth
9. Understanding Tokens
10. Efficiency in Prompt Engineering
11. Critical Role of Syntax
12. Techniques and Strategies for Prompt Engineering
13. Challenges of Quality Prompts
14. Tools and Platforms for Prompt Engineering
15. Ethics in Artificial Intelligence
16. Finances of Prompts and Cost Management
17. Future Directions and Challenges of AI and ML
18. Legal Framework for Artificial Intelligence
19. Practical Examples of Chatbots and AI Systems

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Yes, you can access Prompt Engineering by Eric C. Richardson in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. About the Author
  6. About the Reviewers
  7. Acknowledgement
  8. Preface
  9. Table of Contents
  10. 1. A Brief Overview of ML and AI
  11. 2. Evolution of Machine Learning
  12. 3. Development of Generative Models
  13. 4. Rise of GPT and Transformer-Based Models
  14. 5. Transformer-based Models in Prompt Engineering
  15. 6. Transformer Architecture Concepts
  16. 7. The Prompt Ecosystem
  17. 8. Prompt Types In-Depth
  18. 9. Understanding Tokens
  19. 10. Efficiency in Prompt Engineering
  20. 11. Critical Role of Syntax
  21. 12. Techniques and Strategies for Prompt Engineering
  22. 13. Challenges of Quality Prompts
  23. 14. Tools and Platforms for Prompt Engineering
  24. 15. Ethics in Artificial Intelligence
  25. 16. Finances of Prompts and Cost Management
  26. 17. Future Directions and Challenges of AI and ML
  27. 18. Legal Framework for Artificial Intelligence
  28. 19. Practical Examples of Chatbots and AI Systems
  29. Index