Scenario 2 of 3
You're training an AI model to tell the difference between fruits and vegetables. The model will learn ONLY from the images you select.
You'll see 10 images of fruits and vegetables. Pick which ones to include in your training set. Then we'll test the model on NEW images it hasn't seen before.
Some colors appear in both categories! A red apple is a fruit, but a red tomato is... well, it's complicated! Choose wisely!
Note: This is a simplified simulation. Real AI models are much more complex — they analyze thousands of features like shapes, textures, and patterns using neural networks. But the core lesson is real: AI can only learn from the data you give it. If the training data is biased or incomplete, the AI will be too.