What does “Normalization” mean?

The work of making AI systems behave according to human intentions, values, and safety constraints.

A simple reference model used to compare whether more complex approaches actually improve results.

A consistent pattern of error or unfairness in data or model behavior.

Techniques that create modified training examples to improve model generalization.

Combining predictions from multiple models to improve robustness or accuracy.

Designing or transforming input variables to make learning easier and more effective.