AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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By distilling a lightweight model Veilmind-4B to drive a dynamic extraction-sanitization-restoration pipeline, this approach reaches a low-leakage privacy point while preserving substantially higher response utility than existing privacy-oriented baselines, advancing the privacy-utility trade-off toward the Pareto fron...
It is found that memory can improve UAQ performance in some settings, but such gains are selective rather than universal and remain fragile under dataset shift, suggesting that reliable UAQ memory depends less on storing larger amounts of experience and more on preserving transferable behavioral guidance.
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