Amsterdam AI Meetup November
Welcome to the most electrifying and ground-breaking AI Meetup in Amsterdam!
Join us as we delve into the world of artificial intelligence, explore its cutting-edge practical applications, and marvel at the astonishing projects that are shaping our future.
Why should you attend?
- Get up close and personal with the AI projects that are redefining the boundaries of technology and human potential.
- Learn from the brightest minds in the field and gain valuable insights into the ever-evolving AI landscape.
- Unleash your curiosity, fuel your creativity, and expand your network as you connect with fellow AI aficionados and pioneers.
What you can expect?
Mindstone events consist of three talks covering different aspects:
- What I Learned Building With LLMs: A technical talk breaking down the process for building a product using AI with real-life learnings and insights.
- How To Be More Productive Using AI: A practical demo and step-by-step guide on how to use AI to speed up and improve tasks.
- What Does The Future Look Like With AI?: A theoretical talk on the impact of AI on work, life and society.
After the talks we'll have pizza, drinks, and networking.
Don't miss out on this extraordinary opportunity to witness the AI revolution in action. It's time to embark on a thrilling journey into the future and discover the endless possibilities that lie within the realm of artificial intelligence.
Reserve your spot today for the ultimate AI experience! 💡✨
Agenda
Doors Open
Introduction
Beyond Competition: Redefining Human Purpose in the Age of AI by Dhruv Ghulati
LLMs have proven that they can beat humans at a multiplicity of different tasks, and continue to achieve more and more. As more of what we do practically as human beings could be done better by an AI, what should we spend our time on? What does "doing things" mean in the modern world? Where should we go from here? How can algorithms and humans work hand in hand rather than compete for the leaderboard?
The Implementation Alphabet Drives AI's True Potential by Marieke de Beus
How to make sure your proof-of-concept doesn't end up on a shelf; expand your skills beyond coding and integrate the AI implementation alphabet.
Towards Green ML-Enabled Systems: A Software Architecture Perspective by Justus Bogner
Using machine learning (ML) at scale can lead to enormous energy consumption and carbon emissions. This talk takes a software architecture perspective to present directions on how we can make systems with ML components more energy efficient.
Wrap Up
Pizza, Drinks and Networking