AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces Stateless Language Agents (SLAs), built on the principle of stateful search with stateless agents, and evaluates SLA against three recent frameworks on software engineering, kernel optimization, and algorithm design at budgets of up to one billion tokens.
Evaluated on diverse mathematical, algorithmic, and systems optimization tasks, CORAL sets new state-of-the-art results on 10 tasks, achieving 3-10 times higher improvement rates with far fewer evaluations than fixed evolutionary search baselines across tasks.
Experimental results demonstrate that the ToolVerse framework significantly strengthens LLMs'capabilities in long-horizon tool use, achieving a marked performance boost and showcasing robust reasoning within dynamic environments.
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