AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work constructs DataPraxis-5K, a dataset of 5,000 verified trajectories spanning diverse domains and output formats, to train DataPraxis-27B and DataPraxis-35B-A3B, an analytics task synthesis framework based on verified workspace evolution.
The world agent task is proposed, which moves the evaluation point of world generation from the moment of delivery to the continued operation that follows, and makes the continued operation of a world measurable and distinguishes local completion from failures in event organization.
Remarkably, despite operating entirely without pre-loaded metadata, the proposed TRUST-SQL framework consistently matches or surpasses strong baselines that rely on schema prefilling.
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