Unlocking AI
A Simple Guide for Beginners
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Unlocking AI
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Though there is a lot of hype surrounding AI, many people are still unaware of its power, especially when it comes to how AI can truly help them in their daily lives and at workplaces. This book "Unlocking AI: A Simple Guide for Beginners" will help people to learn about AI.
This beginner-friendly book explains AI concepts in easy-to-understand language, making it ideal for students, professionals, and tech enthusiasts.
Find below the chapters of this book.
1. Introduction: What is AI and Why Should You Care?
2. A Brief History of AI: From Myths to Reality.
3. How Does AI Work? Demystifying the Basics
4. Types of AI: Narrow AI, General AI, and Superintelligence
5. AI in Everyday Life: Applications You Already Use
6. Machine Learning: The Heart of AI
7. Data: The Fuel That Powers AI
8. Ethical AI: The Good, the Bad, and the Ugly
9. AI Tools and Platforms for Beginners
10. AI Careers: How to Start Your Journey in AI
11. Fun AI Projects to Try at Home
12. The Future of AI: What’s Next?
13. Frequently Asked Questions (FAQ)
AI Basics
AI in Daily Life
Learning & Career in AI
AI Tools & Resources
Building AI Projects
Prompt Engineering in AI
Retrieval-Augmented Generation (RAG)
Breaking Down AI Jargon
Understanding AI Algorithms
Python’s Role in AI Development
Relationship Between AI and Data Science
Common Myths and Misconceptions About AI
AI and the Law
AI and Creativity
AI and Robotics
Getting Started with AI: A Step-by-Step Guide
14. How ChatGPT Understands Text, Images, and Audio
15. AI Learning Resources
16. Hugging Face: Revolutionizing Natural Language Processing and AI Development
17. LangChain: Revolutionizing LLM-Powered Applications
18. Understanding Input Window Limitation in Large Language Models (LLMs)
19. Understanding Computer Vision
20. A Beginner’s Guide to Training an AI Model
21. Natural Language Processing (NLP)
22. Mastering Prompt Engineering: The Art and Science of Communicating with AI
23. Using OpenAI API to Build AI-Powered Apps
24. Building a Simple Retrieval-Augmented Generation (RAG) System with LangChain
25. Using Streamlit for AI Development
26. Creating a Local Chatbot Using Popular AI Models
27. DeepSeek AI Development: A New Era of Open-Source AI
28. Exploring Neural Networks with TensorFlow Playground
29. AI Development Best Practices
30. Conclusion and Next Steps