A virtual workshop on June 17 will teach participants how to build AI agents capable of reasoning over data and automating tasks. The session will cover using tools, skills, and the Model Context Protocol (MCP) to create agents that can perform actions like data tagging, inference, and evaluation. This approach aims to reduce manual effort and speed up decision-making in the machine learning lifecycle. AI
IMPACT This workshop offers practical skills for developing more sophisticated AI agents, potentially improving efficiency in ML workflows.
RANK_REASON The cluster describes a workshop on building AI agents using specific protocols and tools, which falls under AI-adjacent tooling.
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