AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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EvoSyn is proposed, a learning-feedback-driven multi-agent framework that organizes synthesis around a revisable state specifying what interaction factors can be deliberately generated and where synthesis effort should be allocated.
Privileged Self-Practice (PSP), which keeps the PI and moves it from the loss to the sampler and is the only method that consistently outperforms plain GRPO, improving task-goal completion on AppWorld and the resolved rate by up to 61% on SWE-bench Verified.
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