… This privileged setup better conditions 4D recovery , allowing model-based object tracking, human motion estimation, and interaction-aware optimization to reconstruct metric 4D human-object interaction HOI trajectories with reduced depth ambiguity and morphology mismatch. …
… Curious if you think this would still work once the setup gets messier in the wild? …
… The deployment implication is that memory savings matter only when the runtime realises them. …
… We explore the design space of such a system and make some non-trivial observations: we see that edge-sized Executors can indeed benefit from assistance from the cloud, resulting in performance superior to an edge-only setup for less API costs than a cloud-only setup; that the best-performing multi… …
… What stands out most is the emphasis on deployment reality: single-H100 feasibility for 120B, 16GB consumer GPUs for 20B, and first-class support for multiple inference backends. …
… That is what I did with bimanual setup
… Maybe you guys should add a readme to get this setup. https://github.com/huggingface/smolagents/blob/gaia-submission-r1/examples/open deep research/run.py · Yeah I got errors too. …