AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Retrieval-augmented fact-checkers often receive a reliability label, such as HIGH or LOW trust, for each evidence source. These labels should adjust the model's confidence and its decision to search for more evidence, while the verdict should follow the evidence content. We introduce TrustSwap, a counterfactual test th...
DynaExq is presented, a runtime-aware mixed-precision serving system that treats single-GPU MoE inference under a hard HBM envelope as an online, budget-constrained precision allocation problem and keeps the experts that dominate runtime traffic resident at higher precision.
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