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Google open-sources LaserTagger, an AI model which accelerates text generation

Sequence-to-sequence AI models, which were introduced by Google in 2014, aim to map fixed-length input (usually text) with a fixed-length output where the length of the input and output might differ. They’re used in text-generating tasks including summarization, grammatical error correction, and sentence fusion, and recent architectural breakthroughs have made them more capable than before. […]

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