AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CoReLoop is proposed, which enables controlled recurrent refinement through loop-specific LoRA and lightweight modules that adapt recurrent inputs, regulate state updates, and align refined representations with the frozen classifier.
The VoxPrivacy benchmark, the large-scale training set, the fine-tuned model to foster the development of safer and more context-aware SLMs, and a viable path forward are demonstrated: by fine-tuning on a new 4,000-hour training set, improve privacy-preserving abilities while maintaining robustness.
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