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Octavio Cano

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liked a dataset 8 days ago

Rakuten/JGLUE

reacted to m-ric's post with 🚀 8 days ago

If you didn't yet, you should read the technical report for SmolVLA, published yesterday by the Hugging Face robotics team! ➡️ Amongst other ideas, it introduces "Async inference" to boost their robot actions. Robots have a problem: performing the actions takes time (Unlike agents where action executions are near-instant!) Most often, robots wait until they've finished performing actions to start thinking about hte next steps. This is a huge latency cost! So the team decided to have the PolicyServer (aka the"thinking" part) restart early : instead of waiting for the n observations they just sent to be completed, they gather the observations after k < n steps, and start preparing the next actions based on that while the steps are running until n, to directly send their next steps. ➡️ This boosted robot throughput by ~30%! (nearly 2× tasks per time window). gg @cadene and team! 👏 Report here: https://huggingface.co/papers/2506.01844

upvoted a paper about 1 month ago

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

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