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eWorld presents agentic AI and Model Context Protocol to computer science students
Summary
Yifan Zhao of contractor eWorld Enterprise Solutions gave a virtual workshop explaining agentic AI, retrieval-augmented generation and the Model Context Protocol, and discussed uses ranging from travel planning agents to automated customer service and state benefit systems.
Yifan Zhao, lead data scientist at eWorld Enterprise Solutions, introduced agentic artificial intelligence and the Model Context Protocol during a virtual workshop for computer science undergraduates.
Zhao framed agentic AI as systems that go beyond standalone large language models by autonomously planning, choosing tools and executing tasks; he emphasized Model Context Protocol (MCP) as an open standard that simplifies connecting AI models to external data and APIs.
Zhao said, “agentic AI is AI systems that can autonomously plan, make decisions and execute tasks across multiple systems to achieve specific goals.” He described retrieval-augmented generation (RAG) as a method to reduce hallucinations by retrieving verified documents and feeding those as supporting context to a generative…
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