AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work compositions existing eviction methods across Transformer layers and systematically exploring the resulting layer-wise design space establish layer-wise method composition as an exploitable, placement-sensitive design dimension for KV cache compression.
Results show that EMAS can turn experience from new samples into reusable updates to MAS topology and prompts, and is best or tied in six of eight model--benchmark settings.
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