Pages
Posts by category
- Category: Applications and Use Cases of Generative AI
- Category: Basics of Generative AI
- How Generative AI Is Transforming Society: From Education to Everyday Life
- Risks and Ethics of Generative AI: What Every User Should Know
- How Generative AI Is Changing Work, Education, Government—and Daily Life
- How ChatGPT Took Over the World: Speed, Impact, and What Comes Next
- The Limits of Generative AI: What It Can’t Do—and Why That Matters
- Why Generative AI Is Easy for Everyone: The Role of Natural Language Interfaces
- The Power of One: Why Generative AI Handles So Many Tasks with a Single Model
- “What’s the Difference Between Traditional AI and Generative AI? A Beginner-Friendly Guide”
- Category: Prompt Techniques for Generative AI
- Category: Risks of Generative AI
- Category: Understanding Generative AI Technologies
- How to Use Generative AI Responsibly: 5 Risk-Aware Practices
- Making Generative AI Safer and Smarter: What Is Alignment and Instruction Tuning?
- How Does Generative AI Learn? A Simple Guide to Training, Pre-training, and Fine-tuning
- Foundation Models, Transformers, and Attention: Understanding the Core of Generative AI
- Understanding Large Language Models (LLMs): How Generative AI Thinks and Learns
- How Generative AI Thinks: Probability, Prediction, and Hallucination
- What Text, Image, and Audio Generative AI Models Have in Common