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today were going to talk about how we can train language models across different domains now to do this were going to be using what is called the augmented expert training strategy and were going to be using the domain transfer flavor of that so the training strategy is used where you have some data but not enough or you in our case with domain transfer we have some data in one domain so say maybe we have quora question pairs but we need sac overflow question pairs and all we have on the stack overflow side are unlabeled question pairs so what were essentially doing is using that source data set the for example quarry question pairs to train a model that can then transfer its knowledge and label the stuck overflow question pairs now we dont need to stick with question pairs and question pairs we can have and go from question pairs to semantic similarity pairs or anything else but we do have to make sure that our source domain and target domain are at least similar and we can thin
