AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces a facet-based perspective that distinguishes between analytical skills, abstraction, and critical evaluation and proposes a method to guide researchers from research goals to concrete tasks and study design, including considerations for question formulation and response formats.
Background: Large language models (LLMs) are increasingly used to automate code review, but the reasoning behind their decisions remains hard to understand. Developers struggle to assess the validity of LLM-generated reviews, making it difficult to gauge how much trust to place in them. The role of Explainable AI (XAI)...
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