Large Language Models (LLMs) are unlocking transformative capabilities — but integrating them into complex, real-world applications remains a major challenge. Simple prompting isn’t enough when dynamic interaction with tools, structured data, and live context is required. This workshop introduces the Model Context Protocol (MCP), an emerging open standard designed to simplify and standardise this integration. Aimed at forward-thinking developers and technologists, this hands-on session will equip participants with practical skills to build intelligent, modular, and extensible LLM-native applications using MCP.
talk-data.com
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Speaker
Adam Hill
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talks
AI Engineer & Data Scientist
AI Engineer & Data Scientist
Bio from: AI Signals #27: Lessons from Building a Real-World Adverse Media Pipeline
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