AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes PAO (Positive-Advantage-Only), a selective RL optimization method that selectively applies gradient updates only to retrieved items with positive advantages, effectively pulling query embed- dings toward high-reward regions while preserving global topo- logical stability.
A novel method is proposed that jointly trains the embedding model and the codebook, and incorporates same product cluster information as an additional supervision signal that significantly improves e-commerce retrieval performance while simultaneously enhancing both embedding and codebook learning.
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