Trajectory.ai
company on 1 show · 7 statements across 1 episodes · said 6 times in 1 episodes since 2026
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Trajectory: Continuous LoRA cuts training wall-clock time in half for two concurrent jobs
“We ran this on several different scale up of experiments, and you can see that across the board, even as you scale up experiments, so like two concurrent jobs were able to cut the wall clock time in half.”
Trajectory.ai open-sources continual learning training stack with Berkeley and Anyscale
“One of the other exciting things we did is, is open sourcing a training stack for continual learning. And so this is in conjunction with Sky RL Berkeley's Sky RL lab in any scale as well.”
Malde: Nobody Scaled SDPO to Real-World Cases Before Trajectory
“It's been done in a lot of academic cases, but no one's actually been able to scale it up to real world use cases.”
Malde: Direct user modifications, not binary feedback, drive effective AI continual learning
“I think when people think about, like, online learning, continual learning, they'll first think of, like, accept, reject, or thumbs up, thumbs down, like some of those, like, kind of binary signals. It turns out that that's actually, like, very noisy. You can …”
Malde reveals Trajectory.ai partners: Clay, Harvey, Rogo, Decagon, and Mercor
“Our current partners are Clay, Harvey, Rogo, Dakagon, Mercore.”
Malde: In legal AI, getting 80% of the way there is zero
“For a field like legal, like getting 80% of the way there is the same thing as zero.”