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In this tutorial, the focus is on training language models across different domains using an augmented expert training strategy, specifically the domain transfer variant. The approach involves utilizing a source dataset, like Quora question pairs, to train a model that can transfer knowledge to label unlabeled data in a target domain, such as Stack Overflow question pairs. This technique is applicable beyond question pairs; it can extend to other data formats, provided the source and target domains share sufficient similarity. The goal is to effectively leverage available data in one domain to enhance the model's performance in another.
