AI Tinkerers Lausanne June 2025 Meetup

What is AI Tinkerers?

AI Tinkerers is a meetup designed for practitioners who possess technical, machine learning, and entrepreneurial backgrounds and are actively building and working with machine learning frameworks and/or foundation models, such as large language models (LLMs) and generative AI. If you’re deeply passionate about AI/ML, creating LLM-enabled applications, have hands-on experience in building such systems, and are eager to connect with like-minded individuals who share your level of commitment, then this group is the perfect fit for you.

AI tinkerers Logitech - April 2025

Who is this for?

We are not just “AI enthusiasts”, we are AI tinkerers. The core essence of AI Tinkerers is active collaboration around early-stage discovery and innovation, which requires a high degree of experimentation, vulnerability, openness to sharing challenges and learnings, and collaboration among individuals with a shared level of expertise. This unique environment allows us to embrace experimentation, foster an atmosphere of trust and innovation, and create world-changing solutions. 🌍

Learn more in the FAQ

Demo Submission

We are actively looking for more demos! A demo is about five minutes in length and demonstrates a work in progress. Pitch decks are forbidden - we want to see your messy work in progress! Please use the “Demo Submission Form” link at the top of the page to apply! We are actively looking for more presenters don’t be shy!

Event Schedule:

UBS St François office: Rue du Lion-d’Or 5/7, 1003 Lausanne

• 5:30pm – Doors open
• 6:00pm – Talks / Demos
• 9:00pm – Doors close

Only 50 spots available for this edition, so sign up fast!

Demos

These were the demos that were shown during the event:

• MCPAdapt: bringing MCP support to all agentic frameworks Guillaume Raille
• Inksight - Chengkun Li
  • github: https://github.com/google-research/inksight
  • project page: https://charlieleee.github.io/publication/inksight/
  • hugging face: https://huggingface.co/spaces/Derendering/Model-Output-Playground
  • paper: https://arxiv.org/abs/2402.05804
• Loïc Finette (BARK Robot Dog)
• Louis James Vasseur (GESTURE: Real-time ASL translation)
• Marco Scialanga
• Marco Lehmann (Hacking RAG)
  • Securing RAG: A Risk Assessment and Mitigation Framework:
    • Paper
    • Demo
• Lyam Baudry (CLOP: CLIP for Genomics)