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Abstract: Edge computing has recently emerged as a promising paradigm to boost the performance of distributed learning by leveraging the distributed resources at edge nodes. Architecturally, the ...

Kids are arriving on college campuses with fewer skills. But, rather than challenge students, many colleges are lowering ...

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A 13-year-old and his teen sister picked up vibe coding and ended up competing together in a 24-hour hackathon with their dad ...

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

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Abstract: This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations of multiclass image objects. We propose a generic end-to-end approach that ...