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Existing models for tasks like machine translation, which process sequences of words, faced two main challenges: they were either slow because they had to process words one after another, or they struggled to understand how distant words in a long sentence related to each other.
Open WalkthroughBefore this paper, it was widely believed that making neural networks deeper would always improve their ability to understand complex data like images.
Open WalkthroughPreviously, computer models designed to understand language could only process text in one direction, like reading a sentence from left to right.
Open Walkthrough