For a quality conversation between a human and a machine, responses have to be quick, intelligent and natural-sounding. But up to now, developers of language-processing neural networks that power real-time speech applications have faced an unfortunate trade-off: Be quick and you sacrifice the quality of the response; craft an intelligent response and you’re too slow. Read article >
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