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In short: no, one cannot feed a ML system with massive random heterogeneous data and expect the system to make sense of it by itself. ML is not magical, it needs to be fed with the right information in order to produce a meaningful and reliable answer. The closest application to this idea is Question Answering (QA). QA is an NLP task where the system answers ...


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