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EvoOntology is introduced, a self-evolving ontology layer for data agents that encapsulates the ontology as an MCP server comprising a schema layer, a content layer, and a tool layer, enabling agents to actively query and interact with the ontology at runtime.
SkillAdam, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents, is introduced, an Adam-inspired framework for optimizing discrete and non-differentiable skill documents with substantially fewer optimization iterations and lower cost than prior methods.
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