Meta has published a massive new Artificial Intelligence (AI) model capable of translating between more than 200 different languages.
Trained using one of the world’s most powerful supercomputers, the No Language Left Behind (NLLB) model already supports advanced Translation Through a suite of Meta apps and services.
“Developments here will enable more than 25 billion translations per day across our apps,” said Mark Zuckerberg, CEO of Meta. The AI modeling techniques we used help make high-quality translations for languages spoken by billions of people around the world.
“Communicating across languages is one of the great powers of AI, but as we continue to develop our work in AI, everything we do is getting better – from showing you more interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping Our service is safe for all.
Jump over the language barrier
In addition to supporting the Meta App family, by launching the model under open source Licensing, the company also paved the way for a new wave of third-party services designed to break down the language barrier.
In a promotional video, Meta noted the potential for augmented reality tools that translate foreign language recipe books and apps capable of unlocking “low-resource languages” literature, such as Icelandic or Occitan.
“Language is key to inclusion. If you don’t understand what people are saying or writing, you can be left behind,” said Jean Millard, a Meta research engineer, in a piece for the camera.
Of course, there was also a mention of possibilities metaverse Technology applications. Meta envisions a future in which people of all backgrounds can speak freely Virtual RealitySupported by live translation.
“The idea is to get rid of the language barrier completely – so that everyone understands your experience without changing the way you communicate,” added Nesip Fazel Ayan, director of research at Meta. “I think the metaverse is going to be where all of those things come together.”
The key to achieving these goals is the ability for a single AI model to cover a large number of languages. Consisting of 50 billion parameters (the more the better), NLLB is capable of translating almost twice as many languages as the next best performing paradigms, but Meta aims for higher heights.
The techniques used to achieve this level of performance are detailed in the research paper (Opens in a new tab) published by Meta, which describes “multiple architectural and training improvements” that the company hopes will “lay an important foundation toward achieving a global translation system.”