How AI Works
Learn how AI systems actually work.
Understand AI process.
The Learning Process
1. **Get Data**: Collect examples 2. **Train**: AI learns patterns 3. **Test**: Check if AI learned correctly 4. **Use**: AI makes predictions
Example: Teaching AI to Recognize Cats
**Step 1**: Show 10,000 cat pictures **Step 2**: AI finds patterns (fur, ears, whiskers) **Step 3**: Test with new cat pictures **Step 4**: AI can now identify cats!
Training vs Inference
**Training**: Teaching AI (takes time) **Inference**: AI using what it learned (fast)
Like studying for exam (training) vs taking exam (inference).
Data is Key
More data = Better AI
If you show AI only 10 pictures, it won't learn well. Show it 1 million pictures, it becomes very accurate!
AI Mistakes
AI can make mistakes, especially: - With new types of data - When training data was limited - When data had errors
Remember
- AI learns from examples - More data = better results - Training takes time, using is fast