AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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When a large language model handles a multi-turn task and a user proposes a change but ultimately rejects it, the model should continue as if nothing changed. We find a surprising failure: merely mentioning a rejected change can derail task execution, even when the user's final intent remains unchanged. To systematical...
This paper presents AdaMM, a framework that jointly supports retrieval and analytic memory that extracts provenance-linked attribute-value observations from dialogue, images, and contextual metadata, discovers recurring field structures, and materializes them for analytical access.
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