AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is argued that a key difference from Python interpreters, web search, and JSON APIs is interface feedback: their failures often leak natural-language signal the model saw in pretraining, and that same-family reward redesigns do not fix.
This work introduces KinshipQA, a benchmark designed to probe large language models' ability to perform multi-hop reasoning through reasoning over kinship relations, and demonstrates that KinshipQA yields a wide spread of outcomes and exposes systematic differences in multi-hop reasoning across models and cultural settings.
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