AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Qwen-Planner-Agent is built, which achieves the best overall performance among all evaluated models and systems on MobilePA-Bench, improving over its base model across tool use, memory, skills, and sub-agent coordination.
Long-horizon agentic tasks require an agent to modify an environment through a sequence of tool calls, with success determined by the final state. The standard recipe assigns a single outcome reward at the end and compares trajectories sampled for the same task. As a result, a group with no successful trajectory yields...
Verifiable Memory is presented, a framework that represents LTM, active context, and episodic history as distinct states and controls them with one memory operation policy and achieves the strongest efficiency--performance frontier among the compared methods.
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