people like jo? to be clear, this is on matches that don t have commentary at the moment. we would love to make all matches available in a more accessible way, and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it in less than a
and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it in less than a second, is that the aim of this? yeah. yeah, yeah, so i think it s achievable, for us to get there. you know, we could horizontally scale out some of our algori
we would love to make all matches available in a more accessible way, and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it in less than a second, is that the aim of this? yeah. yeah, yeah, so i think it s achievable, for us to g
to be clear, this is on matches that don t have commentary at the moment. we would love to make all matches available in a more accessible way, and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it