Prompt Engineering: Hands-on guide to prompt engineering for AI interactions (English Edition)
Author: Eric C. Richardson (Author)
Publisher finelybook 出版社: BPB Publications
Publication Date 出版日期: 2025-05-15
Language 语言: English
Print Length 页数: 372 pages
ISBN-10: 9365892961
ISBN-13: 9789365892963
Book Description
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
