AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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GraphFAS (Graph Feature Automated Selection), a distributed feature selection procedure based on Boruta that decouples feature aggregation from model training, enabling direct integration with tabular models and direct compatibility with TreeSHAPbased explanations.
Bole is presented, a kernel--runtime co-design that enables efficient tree speculation for hybrid-attention LLMs and couples efficient state management with a batch-wide verification budget calibrated to the complete hybrid forward.
Results show that template-anchored decomposition and stage-specific GPU execution can scale matrix completion beyond device-memory capacity, and show that template-anchored decomposition and stage-specific GPU execution can scale matrix completion beyond device-memory capacity.
RVANNS is presented, an RVV-oriented ANNS engine that jointly optimizes vector representation and graph locality and achieves 3.39x and 4.94x speedups over scalar execution on real 128-bit and 256-bit RVV processors, respectively.
BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in m...
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