AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This survey focuses on co-evolution in agentic systems, a multi-component form of self-evolution in which multiple agents and their environment impose adaptive pressure on one another.
MetaEvolve is presented, a framework designed to develop meta-skills that can transfer broadly to open-ended problems where such rich training signals are scarce, and aims to inspire generalizable domain-agnostic meta-skills that can transfer broadly to open-ended problems where such rich training signals are scarce.
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