AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A novel probabilistic version of the NHS model (PNHS) is presented for dimensionality reduction of high dimensional manifold-valued data in Riemannian homogeneous spaces and has several advantages over its deterministic counterpart namely, the NHS model.
LastOPD is proposed, which applies the latent signal only at the last-layer state, the common interface both LM heads read, and only during a 10-step crossfade into token-level OPD, which keeps the useful part of the latent signal and hands the student to token-level supervision before the collapse sets in.
TimeEvo is proposed, which clusters an agent's diagnosed failures into capability gaps, plans a measurement for each, synthesizes evidence-only tools that fill them, and admits the candidate library only through a paired admission gate.
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