AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Multi-agent debate (MAD) aims to improve large language model reasoning by exposing agents to alternative solutions and enabling iterative revision. However, standard broadcast-style MAD makes peer answers visible without requiring agents to engage with a particular peer claim. As a result, reliable reasoning may be su...
RAT (RunAnyThing), a modular and extensible agent framework for fully automated configuration across programming languages on arbitrary repositories, and RATBench, a benchmark that reflects the comprehensive coverage of real-world repositories are proposed.
PTCG-Bench is presented, a benchmark built on the Pok'e}mon Trading Card Game (PTCG) that evaluates LLM agents at two complementary levels: their decision-making performance within a single complex environment, and their ability to self-evolving through accumulated experience.
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