AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is demonstrated that zeroing out a substantial fraction of attention heads prior to inference can significantly suppress verbatim memorisation while preserving, or even improving, language modelling performance on the benchmark used to identify redundant heads.
MOSAIC (MOdality-Separated Architecture with Inter-modal Cross-attention), which preserves unimodal representations while enabling controlled interaction between them, and uses modality-specific losses to route gradients to their corresponding partitions, demonstrates that modality partitioning yields consistent gains...
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