AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes EAVA, a novel framework that effectively leverages LLMs to perform SV assessment and provide supporting evidence and enables large-scale reasoning trajectory annotation using off-the-shelf LLMs and adopts a two-stage training paradigm.
Efficient GPU implementations of tensor programs often require joint optimization of high-level algebraic formulations and low-level execution strategies. However, the resulting search space grows rapidly as transformations combine across operators, making joint optimization difficult to scale. We present EqiForge, a t...
SmellCC, a Visual Studio Code extension that augments SonarQube with an LLM-based pipeline to automatically detect and refactor Python code smells, provides in-place, one-click remediation for the top-10 most frequent smells, effectively preventing the accumulation of technical debt during development.
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