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Thus far, weve talked about models that can take a question, find some evidence, and extract the answer. That works for things like SQuAD, TriviaQA, and (many) Natural Questions. But what about the MultiHop datasets that we talked about before? How would these sorts of models do a hop? Just as a refresher (watch the previous video if you want more), in datasets like HotPotQA, you need to answer questions like Where was Facebook founded by hopping through evidence documents. While the approaches we talked about can handle one hop just fine, how would you go about solving these problems when you need to find *multiple* pieces of evidence? We wont go as deep into the weeds on these techniques because this is relatively early days; as I record this in 2022, the details are probably going to change dramatically. But barring surprises, hopefully the broad strokes about the general ideas of how to answer these multihop questions will stay relatively similar. Nonetheless, Ill give the ti
