
AI Basics and The RGB Prompt Engineering Model
Empowering AI & ChatGPT Through Effective Prompt Engineering
Phill Akinwale(Author)
Praizion Media (Publisher)
Published on 12. June 2023
978-1-934579-23-7 (ISBN)
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Description
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Unlock the mysteries of Artificial Intelligence and master the foundations of the RGB Prompt Engineering Model with "AI Basics: A Practical Understanding of RGB Prompt Engineering"!
This comprehensive guide is designed for AI enthusiasts, tech hobbyists, and professionals alike who want to delve deeper into the world of AI and understand the groundbreaking RGB Prompt Engineering Model. Each chapter carefully presents a structured pathway from AI's historical origins to the most advanced applications in today's technology landscape.
The book navigates you through key AI concepts like Machine Learning, Natural Language Processing, and Computer Vision, setting a robust base for exploring the unique capabilities of the RGB Model.
What sets this guide apart is its specific focus on the RGB Prompt Engineering Model, a state-of-the-art tool in AI that elevates machine understanding to new heights. With detailed explanations, real-world examples, and hands-on exercises, you will learn to effectively harness the power of this groundbreaking model.
"AI Basics: A Practical Understanding of RGB Prompt Engineering" offers you the future of AI today. Let it be your companion in this fascinating journey towards understanding and applying AI in our daily lives. Prepare to step into the future, one prompt at a time!
More details
Language
English
Publishing group
Praizion Media
File size
3,25 MB
ISBN-13
978-1-934579-23-7 (9781934579237)
Schweitzer Classification
Person
In the year 2023, the world witnessed a monumental shift in the way we interacted with technology. Artificial Intelligence (AI) took center stage, captivating the imaginations of people from all walks of life.
Content
CHAPTER 1 3
INTRODUCTION 3
AI Timeline of Major Milestones 8
CHAPTER 2 11
INTRODUCTION TO AI 11
CHAPTER 3 22
FUNDAMENTALS OF MACHINE LEARNING 22
CHAPTER 4 27
FUNDAMENTALS OF NATURAL LANGUAGE PROCESSING 27
CHAPTER 5 31
FUNDAMENTALS OF COMPUTER VISION 31
CHAPTER 6 34
FUNDAMENTALS OF PROMPT ENGINEERING 34
CHAPTER 7 48
UNDERSTANDING PROMPT ENGINEERING 48
CHAPTER 8 57
EXPLORING THE RGB MODEL 57
CHAPTER 9 69
RGB MODEL DETAILS 69
CHAPTER 10 77
DEEPENING RGB MODEL UNDERSTANDING 77
CHAPTER 11 87
PRACTICAL EXAMPLES AND APPLICATIONS 87
50 EXAMPLES OF THE RGB MODEL 93
CHAPTER 12 116
CONCLUSION AND FINAL THOUGHTS 116
APPENDIX: AI CHRONOLOGICAL TIMELINE 124
INDEX 133
ABOUT THE AUTHOR 135
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