What does “Supervised Learning” mean?

A moderation layer that blocks or rewrites unsafe model inputs or outputs.

Techniques that create modified training examples to improve model generalization.

The process of assigning tags or target outputs to raw data for supervised learning.

A collection of structured or unstructured examples used for training, validation, or testing.

Training a smaller model to imitate the outputs of a larger model.

When a model memorizes training data and performs poorly on unseen inputs.