AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Experiential abstractions improve LLM performance on mathematical and logical reasoning benchmarks, and the abstraction usage framework can transfer to other datasets and models.
This work presents FAVA (Formal Authorization for Verified Agents), a permission-carrying authorization framework for agent execution that utilizes an LLM-guided Permission Intermediate Representation to translate ambiguous natural-language tasks into structured constraints.
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