AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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MetaNet is proposed, a support-set controller that predicts, for each layer, an expert-retention threshold and a bounded routing bias and provides a tunable accuracy-expert-activation trade-off on DeepSeek-MoE-16B-Chat.
REP-LIE leverages the gradients of LoRA low-rank matrices to estimate the importance of weights without requiring full gradient computation, and a stability score is introduced, serving as the basis for iterative pruning of unimportant model parameters.
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