AI Models Explained

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