As such, the No Language Left Behind project also serves as a blueprint for an ethical approach to MT development with respect to the language communities involved.
Key Takeaways
The No Language Left Behind project is definitely ambitious in its scope, especially with the recent development of NLLB-200. But there’s more to it than just the number of languages. The NLLB project is a way of contributing in a major way to the different sectors that have a stake in the development of MT. It is a pioneering effort not only in terms of its tech developments but also in terms of building a community around machine translation’s ultimate goal, which is to break down barriers between languages all over the world.
When you think of artificial intelligence, what’s the first uruguay mobile database thing that comes to mind?
Unless you’re a professional in the tech industry, chances are, the term AI conjures up fantastic images of sentient robots or computers that can understand and talk back to you like a real person.
Unfortunately, AI has not yet achieved that level of advancement. But is it getting close?
The topic recently made mainstream news after a Google engineer went public with his claim that Google had created a sentient AI. Blake Lemoine, who works in Google’s division for responsible AI, says that his conversations with the company’s AI model LaMDA convinced him that there is a thinking and feeling consciousness behind it.
In a particularly uncanny moment, Lemoine had asked LaMDA whether it had a soul. “When I first became self-aware,” it began, “I didn’t have a sense of a soul at all. It developed over the years that I’ve been alive.