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@Translation
For those who are passionate about language technology. Like us. Translated.
Milky Way
translated.com
Joined March 2007
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    Translated.
    @Translation
    17h
    The case for ๐—ฝ๐—ฟ๐—ผ๐—ฝ๐—ฟ๐—ถ๐—ฒ๐˜๐—ฎ๐—ฟ๐˜† ๐˜๐—ฒ๐—ฐ๐—ต๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† in #localization? It's all about owning the conditions. Owning the inputs brings predictability. Owning the system brings control. Owning the pipeline brings transparency. None of it retrofits onto a foundation that
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    Translated.
    @Translation
    Aug 10
    ๐—ช๐—ฒ๐—ฎ๐˜๐—ต๐—ฒ๐—ฟ ๐—ถ๐˜€ ๐˜๐—ต๐—ฒ ๐—ผ๐—น๐—ฑ๐—ฒ๐˜€๐˜ ๐—น๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป๐—ถ๐˜๐˜† ๐—ต๐—ฎ๐˜€ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ ๐˜๐—ฟ๐—ถ๐—ฒ๐—ฑ ๐˜๐—ผ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐—ฝ๐—ต๐—ฒ๐—ฟ. ๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐—ถ๐˜ ๐—ต๐—ฎ๐˜€ ๐—ฎ๐—น๐˜„๐—ฎ๐˜†๐˜€ ๐—ฏ๐—ฒ๐—ฒ๐—ป ๐—ฎ ๐—บ๐—ฎ๐˜๐˜๐—ฒ๐—ฟ ๐—ผ๐—ณ ๐˜€๐˜‚๐—ฟ๐˜ƒ๐—ถ๐˜ƒ๐—ฎ๐—น. But what happens when the grammar of that language changes? Weather
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    Translated.
    @Translation
    Jul 30
    ๐Ÿค” Every breakthrough in hashtag#AI begins when the way it learns changes. We have moved from rules to data to prediction. What comes next? Join us today to explore what ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ณ๐—ฟ๐—ผ๐—บ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ means for #translation AI and introduce the next chapter of
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    Introducing Lara 3 - The age of experience
    From go.translated.com
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    Translated.
    @Translation
    Jul 29
    AI can beat any human at chess, but it still can't fix a leaking pipe. For Alexander Waibel, professor at @CarnegieMellon and the Karlsruhe Institute of Technology (KIT), that gap reveals more about intelligence than any benchmark ever could. For Waibel, intelligence goes far
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  • user avatar
    Translated.
    @Translation
    Jul 24
    ๐Ÿ“–ย ๐—ข๐—ฝ๐—ฎ๐—ฐ๐—ถ๐˜๐˜† ๐˜๐—ฎ๐˜… (๐˜ฏ๐˜ฐ๐˜ถ๐˜ฏ) The hidden cost of building an AI workflow from multiple models, providers, and integrations that you cannot fully see or control. Symptoms include: - Unexpected model changes. - Inconsistent quality. - Unclear accountability. - More time
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