AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Fisher-Projected On-Policy Distillation (FP-OPD), which distills only locally realizable teacher corrections provide a more effective target for distilling compact vision--language models.
This work proposes Architectural Intent Collapse (AIC), a formal framework capturing the systematic loss of communicative intent when text from heterogeneous sources is flattened into a single context window, and introduces Intent Separation Degree (ISD) as a measurable metric.
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