AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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EviRCA is presented, a framework for LLM-based RCA that decouples deterministic evidence extraction from LLM reasoning and substantially outperforms prior OpenRCA baselines that achieve up to 15.2%, while reducing token consumption by 15-26x and execution time by 3-20x.
This work introduces RepoProbe, a novel benchmark for evaluating repository-level code understanding through open-ended Q&A using GitHub Discussions, which focuses on open-ended architectural inquiries rather than defect reporting and proposes a Checklist-Based Verification Protocol that decomposes answers into atomic, verifiable facts, thereby replacing subjective ratings with objective verification.
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