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Join us on November 26 to dive into the best practices for building agentic AI safely and effectively with Guillaume Laforge, Developer Advocate at Google, and Maxime Appé, Manager, Product Management at Dataiku.

6:30 to 7:15 pm: Guillaume Laforge, Google
AI Agents: The New Frontier for LLMs

Know your way around large language models? Mastered retrieval-augmented generation to help an LLM search your documents? It’s time to take the next step with AI agents.

In this session, you’ll learn what makes a system “agentic”, the limitations of LLMs, and how to build different types of agents in Java using LangChain4j and the Agent Development Kit (ADK). Expect practical examples of agent patterns that go beyond a simple LLM call to respond intelligently, take action, and adapt to user needs.
Building retrieval-augmented generation (RAG) apps is just the start. Learn what comes next with Agents.

7:15 to 8 pm: Maxime Appé, Dataiku
Navigating the AI Safety Landscape: Learning from CeSIA’s Bootcamp

AI is evolving fast, and safety research is racing to keep up. In this session, we’ll break down key insights from the AI Safety Bootcamp hosted by the Centre for AI Security. We’ll explore how to navigate AI’s rapid progress, unpacking what “intelligence” or “model agency” really mean, before turning to the risks and mitigation strategies that define the AI safety landscape today.

8 - 10PM: Meet & greet with drinks

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