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This same technology that enabled neural machine translation to improve machine translation is now finding its way into seemingly unrelated products (think ChatGPT or Dall·E). The translation “problem” has not been solved with the latest advancements in NMT, but there are lessons to be learned in other professions from how the professional translation community has been affected by and adapted to the widespread use of NMT both by translators and by end users.
Join us as we unravel the journey of chatbots from mere automated helpers to Digital Assistants, shaping the future of work. Discover how advancements...
We chatted with Veronica Hylák, co-founder and co-CEO of Metalinguist, curator of the popular AI vlog, The AI Almanac. Veronica shares her secrets for...
Recently, advocates in the US state of New Jersey raised concerns about the state not providing adequate language access services at community meetings on...
