AI Models Explained
Understand what AI models are and how they work.
What is an AI model?
AI Model Definition
A model is like a recipe that AI uses to make predictions.
**Recipe (Model)**: Steps to bake a cake **Ingredients (Data)**: Flour, eggs, sugar **Result (Prediction)**: Delicious cake!
How Models Work
1. **Input**: Give data to model 2. **Process**: Model analyzes 3. **Output**: Model gives answer
Example: Email Spam Filter
**Input**: Email text **Model**: Checks for spam patterns **Output**: "Spam" or "Not Spam"
Training a Model
Training = Teaching the model
Like teaching a dog tricks: - Show examples - Reward correct behavior - Model learns patterns
Model Types
**Simple Models**: Linear Regression (straight line predictions) **Complex Models**: Neural Networks (brain-like learning)
Choosing a Model
**Small Data**: Use simple models **Large Data**: Can use complex models
Start simple, then get fancy!
Saving Models
Once trained, save your model: - Use it later - Share with others - Don't retrain every time
Remember
- Models are AI's brain - Training = learning process - Start with simple models