Searching similar examples in a pretraining corpus involves identifying and retrieving examples that are similar to a given input query or reference sequence. Pretraining corpora are vast collections of text or code data used to train large-scale language or code models. They provide a rich source of diverse and representative examples that can be leveraged for various downstream tasks.
Searching within a pretraining corpus can bring several benefits. It allows practitioners to:
