Hosted By
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.
Review by Renato Beninatto Mark Saba’s Native Experience Marketing offers a refreshing approach to global marketing — one centered around the idea of authenticity....
If you have a message you want to test drive, social media is a great way to gauge public perception. Feedback about how your...
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...
