DeepL

“When they're made for different purposes, they also lose a little bit of the capability that they had maybe initially when they've been made for translation only. This The set of parameters that is available there, this, which kind of determines quite often th…”

“And if you run this reinforcement learning step on too many different tasks, the model will be able to do all of that. But once again, it's going to be very, very, very broad. And if you focus on making sure that the model understands and knows that it needs t…”

“Accuracy is the one part that kind of comes from the specialization of the model. The latency, the speed is just like a very, very natural function of the size of the model and the ability of it to just be processed faster on the same kind of hardware.”

“So I think it's going to be limited to those most important ones, but those most important ones definitely are going to run into this direction to not only Just make sure that the accuracy and the speed are what they are, but also to cover like all of the edge…”

“Actually, in language translation, this idea has been coming up already a couple of years earlier, and we've seen those model routers already in place in, in businesses where it was a question like, which models excel at given language pairs, which offer the b…”

“We have customers who have optimized their whole product delivery cycle, but the localization aspect, the translation aspect at the end of this product development was always the reason why things could not be shipped to the market. And now with bringing AI in…”

“That was the major step in AI translation. Before that, all of the solutions really didn't work. I think that's just general consensus.”

“And like right now, if you look at the quality of those solutions, if you take a well written document, and if you look at the language pair that is like one of the major language pairs, like let's say English to French or English to Spanish, or some of the bi…”

“I think when it comes to translation and languages, like this is really the next frontier. I think we really have gone so far in text and documents by now there's like a lot is possible. I think we're still in the early years when it comes to real time speech …”

“I'm a big advocate of the fact that for like real time translation, we actually have all of the devices that we need, like the airports that we have, like the phone that we have that actually suffices for that.”

“So that something coming out, you know, an open AI, they're just not going to build that same level of workflow, the same level of integration. And so it's going to be, there's, there are, there's plenty of work to be done. That's beyond the model itself.”