AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A design that fits comfortably within all four resource budgets at deterministic sub-10~$\mu$s single-timestep latency, meeting the requirements for real-time inference inside a model-predictive-control-style plasma control loop is reported.
Two methods are introduced, AuxBO-Evolve, which uses auxiliary information to evolve beliefs over the location of the optimum, and AuxBO-Vicinity, which uses it to locally guide the acquisition function, which consistently improve optimization performance and outperform standard BO and existing LLM-based approaches.
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