Applied AI·Fine-tuning and customisation
you generate the training examples with a stronger model and then throw most of them away, because the filtering is the part that works.
Synthetic data
Draft summary, pending review
Training examples generated by a stronger model, then filtered for quality. Standard practice for bootstrapping datasets and covering rare cases; the filtering step is where the value lives, since unfiltered generation amplifies the generator's quirks.