Definition
A pattern where one expensive model proposes a few high-quality examples and a cheaper model uses them as templates to generate many more.
A data-generation technique in which a strong agentic model produces a small set of high-quality seed tasks or trajectories, then a cheaper model uses them as in-context exemplars to generate many more examples at scale.