AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Learning-Augmented Heuristics (LAH), a framework that learns the cache-level parameters of static heuristics, is introduced and demonstrated the effectiveness of LAH through S4-FIFO, a Smart S3-FIFO cache eviction algorithm.
This work further the understanding of real-world LLM serving workloads through both a global characterization and a longitudinal study of a one-year production trace from Chutes, revealing workload evolution and user-model structure that are typically hidden behind aggregate views.
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