AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A matrix-valued optimizer that preserves the singular subspaces of the gradient while applying a bounded, monotone sigmoid transformation to its singular values is introduced, and the effectiveness and robustness of Soren against established optimizers are demonstrated.
This survey presents a unified and pipeline-aware overview of RAG robustness, formalize threat models over the corpus, retriever, and generator, and organize attacks into three main objectives: accuracy, privacy, and fairness.
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