AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Successful reader-LLM collaboration is associated with model confidence and reader expertise, with rationale quality facilitating correct advice uptake but increasing overreliance on incorrect suggestions.
Even at the highest accuracy observed here, answer-level performance can overstate visual understanding, pointing to the need for more appropriate evaluation methods that assess whether a model's reasoning is faithful to the image, not only whether its answer is correct.
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