Large language models depend on outside tools to perform real-world tasks, but connecting them to those tools often slows them down or causes failures. A new study from the University of Hong Kong proposes a way to fix that. The research team developed a platform called NetMCP that adds network awareness to the Model Context Protocol (MCP), which is the interface that lets LLMs connect to external tools and data sources. The research focuses on … More
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