AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A family of attacks is introduced that eliminates the backward pass by predicting the input gradient from forward-pass hidden states via a lightweight linear regression, and exact affine conditional gradient means are derived.
Search (IR) & recommendation (RecSys) have long been developed in parallel, despite serving the same discovery goal over shared item universes. The rise of LLMs and agentic systems is collapsing this divide, with unified architectures and generative retrieval increasingly powering both query-driven and feed-driven expe...
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