AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large-scale models have permeated the molecular sciences, yet what makes a model'foundational'in this domain remains poorly defined. This paper proposes three testable criteria for assessing the foundational nature of molecular models: (i) generality across molecular entities, properties, and tasks; (ii) transferabilit...
We introduce ChemLint, an open-source Model Context Protocol (MCP) server that connects any MCP-compatible large language model to a curated suite of local cheminformatics and machine learning tools, enabling rigorous molecular data handling through a conversational interface. Molecular machine learning studies are f...
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