How AI Systems Work
Inference and Deployment
What happens after training when a new request reaches the system.
In this lesson
Lesson goals
- Preparing input
- Producing probabilities
- Applying product rules
Core idea
What happens after training when a new request reaches the system.
1. Preparing input: understand it in context, identify inputs and outputs, and define how the result will be verified.
2. Producing probabilities: understand it in context, identify inputs and outputs, and define how the result will be verified.
3. Applying product rules: understand it in context, identify inputs and outputs, and define how the result will be verified.
Practical example
Consider a real application of “Inference and Deployment.” Start small, identify available data, and compare the system with a clear baseline before expanding it.
Check your understanding
- Explain “Inference and Deployment” in your own words.
- Give one appropriate and one misleading application.
- What risk or limitation should be monitored?

