AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ConsensusGrade provides a diagnostic framework for interpreting automated scores relative to observed human variability; inside-envelope rates should not be interpreted as stand-alone measures of grading accuracy.
Student-history metadata can influence LLM-generated grading scores despite explicit instructions to ignore it, and future LLM-based grading systems should separate answer-based scoring from learner-context-based personalization and validate score invariance under controlled learner-context variations.
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