Meta AI recently open-sourced its massive translation model, No Language Left Behind (NLLB-200), intending to exclude language barriers across the globe. As we know, that machine translation has become a key area of research nowadays, and it has become a great news for many researchers and organisations who can use it for their respective research and work. So let's take a look at the news and understand a bit about NLLB-200 with the below points: No Language Left Behind (NLLB-200) is a model from the series of massive machine translation models of MetaAI for language translation. A newer member of the series NLLB-200 is capable of translating between 200 languages, representing Meta's capacity of Meta in the direction of AI researchers. These development aims to allow people to access, share and use online content in their native languages and communicate across the world regardless of language preferences.

What if you didn't need English to translate? Meta's new and improved open source AI model'NLLB-200' is capable of translating 200 languages without English! "Communicating across languages is one superpower that AI provides, but as we keep advancing our AI work it's improving everything we do--from showing the most interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping our services safe for everyone", says Mark Zuckerberg, CEO, Meta. Accessibility through language ensures that the benefits of the advancement of technology reach everyone, no matter what language they may speak. Tech companies are assuming a proactive role in attempting to bridge this gap.

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Meta has announced that it has built and open-sourced'No Language Left Behind' NLLB-200, a single Artificial Intelligence (AI) model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results. Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia. In an effort to develop high-quality machine translation capabilities for most of the world's low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective. AI models require lots and lots of data to help them learn, and there's not a lot of human-translated training data for these languages.

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Meta's new AI model can translate 200 different languages - including many low-resource ones not supported by current translation systems - thanks to the work of what CEO Mark Zuckerberg calls'one of the world's fastest supercomputers.' The company dubs its effort No Language Left Behind (NLLB) and it hopes to enable more than 25 billion translations across Meta's apps each day. Although there are more than 7,100 known languages spoken worldwide today, many of them do not have enough data sets available in order to train AI. 'The AI modeling techniques we used are helping make high quality translations for languages spoken by billions of people around the world,' Meta CEO Mark Zuckerberg said in a statement These so-called low resources languages include Egyptian Arabic, Balinese, Sardinian, Nigerian Fulfulde, Pangasinan and Umbundu - which are spoke by a sizeable population but not as much on the internet itself. 'The AI modeling techniques we used are helping make high quality translations for languages spoken by billions of people around the world,' Meta CEO Mark Zuckerberg said in a statement posted to Facebook. The new model can translate 55 African languages with'high-quality results,' the company states.