What does “Synthetic Data” mean?

A training setup where a model improves by generating data through interactions or competitions with copies of itself.

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Techniques that create modified training examples to improve model generalization.

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

A held-out dataset used to measure model quality after training.

Continuing training on domain-specific data to adapt a pre-trained model to a specific task.