perspectiva aiqbenchCercetare AI

Kyutai's REKI is a 2.4B vision-language-action model for robot manipulation, notable for training on public data only and for a low-cost memory of recent observations, with its weights released openly. Its claim of outperforming models roughly twice its size on three out-of-distribution benchmarks is promising but depends on benchmark details and independent replication. For AI readers, the practical questions are how the memory mechanism scales over longer tasks and how it performs on real hardware outside the reported evaluations.

Surse care acoperăMarkTechPost, LessWrong, AI Alignment Forum, Quantum Computing Report

Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

Meet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation

MarkTechPost17 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past. On three out-of-distribution benchmarks, only models about twice its size beat it. All weights are live on […] The post Meet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation appeared first on MarkTechPost.

Citește articolul complet pe MarkTechPost

Citește pe MarkTechPost ↗Întreabă despre acest articol