AI Foundations
Model
A trained mathematical system that turns inputs into predictions, classifications, or generated outputs.
Example
A trained system receives a loan application and returns an estimated risk score.
Why it matters
It provides reusable prediction or writing abilities that different products can build on.
You'll hear it
“They changed the model behind the app, and the answers feel different.”
Can you control it?
Sometimes
Sometimes. Some products let you choose among models, while others select one for you. Users generally cannot change a hosted model's learned internal values.
Common questions
- Can the same model behave differently in two apps?
- Yes. Different instructions, tools and settings can change what people experience.
- Is ChatGPT a model?
- ChatGPT is a product that uses models along with an interface and other supporting systems.
- Does a bigger model always work better?
- No. Size can help on some tasks, but quality also depends on training, design, tools, cost, and the task itself.