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Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD

Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct. Please familiarise yourself with it before attending.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as possible. *** Code of Conduct: This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns. *** As always, there will be free food and drinks, generously provided by our host, Man Group. ***

Main Talks

1. Productionising research papers with Python and serverless infrastructure - Chess commentary generation use case - Guillaume Allain

Chess commentary generation is a fun research field, combining LLMs with symbolic chess engines to generate grounded chess commentary. In this talk I'll showcase a few ideas from recent papers, and demonstrate how to reproduce them leveraging the modern Python stack together with a serverless cloud provider specialised for AI/ML (modal.com). See accompanying repository GitHub - pilipolio/chess-sandbox: Experimentations with chess engines and LLMs

⚡ Lightning Talks

1. Understanding Embedding Space: Surprises, Pitfalls, and Intuition - Alper Nebi Kanlı
2. Amusingly Abliterated LLMs - Ian Ozsvald
3. I surveyed AI image tech so you don't have to - Terry Lurie
4. Local MCP servers for your Local coding Agents (Cursor, Claude, Codex etc) - Prashant Tiwari

Logistics Doors open at 6.30 pm (get there early as you'll need to sign in with building security). Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4).

We have reduced capacity for this event, but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

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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