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 foundation models, such as large language models (LLMs) and generative AI. If you’re deeply passionate about 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 Berlin in March

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:

Location: EPFL Station - next to the Swiss Tech convention center - where there was the pharmacy before.

6:30pm Doors open (⚠️ Please be on time!) 6:45 Talks 7:45 Networking 9:00pm Doors close

Current scheduled demos

1. Maksym Andriushchenko (EPFL PhD): LLM red teaming and adversarial attacks
2. Andres Bran (EPFL PhD): LLM + chemistry tools
3. Jimi Vaubien (Prometee)
4. ⁠Pierre Loic Doulcet (LlamaIndex)
5. Martin Nicolas Everaert (Exploiting the Signal-Leak Bias in Diffusion Models)
6. Yitao Xu (Move Your Bubbles!)
7. Lars Klein (EPFL PhD): Cachesaver, a practical caching solution optimized for LLM-driven experiments
8. Faton Ramadani (Windmill): Deploy and run LLM workflows at scale with Windmill