• Alibaba and Meta Face Off in Simultaneous AI Translation

    "Two recent research papers — one from a team at Alibaba and Xiamen University, the other from Meta AI —- proposed different ways to improve simultaneous AI translation (SiMT): by adapting large language models (LLMs) for real-time use, and by extending translation systems with a lightweight streaming module.
    The Alibaba and Xiamen University researchers introduced a method called EAST (Efficient and Adaptive Simultaneous Translation), which enables LLMs to handle streaming input.

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    Alibaba and Meta Face Off in Simultaneous AI Translation "Two recent research papers — one from a team at Alibaba and Xiamen University, the other from Meta AI —- proposed different ways to improve simultaneous AI translation (SiMT): by adapting large language models (LLMs) for real-time use, and by extending translation systems with a lightweight streaming module. The Alibaba and Xiamen University researchers introduced a method called EAST (Efficient and Adaptive Simultaneous Translation), which enables LLMs to handle streaming input. Subscribe Now: https://slator.com/ Read more: https://slator.com/alibaba-and-meta-face-off-in-simultaneous-ai-translation/" #ai #machinetranslation #alibaba #aiinnovation #translationtech #technews #slatorpod #slatorcon #slator #simultaneoustranslation
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