Gradient.ai

“Easy context was the first PyTorch implementation that applied it with native libraries that worked pretty well. And then we adapted it ourselves in order to configure it for our cluster network topology.”

“Well, quite simply, like, gradient, we're a full stack AI platform, and what we really want to do is we want to enable all of the, you know, RPA workloads or the codified automation workloads that existed in the enterprise before. We really want to enable peop…”

“Making the model track state and have state management over time is really, really hard. And it's an incredibly hard evaluation that will probably only really work when you have a huge context.”

“Multimodality is, in my opinion, going to be, it's going to be pivotal for long context. Just because, like, videos when you're getting into the frames per second and you're getting into lots of images and, like, things that are a lot more, like, embodied You …”

“It just made it really easy for us to, like, scale up with their L-Forties, and those are the specific GPU instances we used, and coordinating that effort with them to get, you know, that dedicated cluster first to do the project”