In collaboration with Multiverse Computing, we are bringing together AI innovators to explore how organizations of all sizes, from start-ups to enterprises, can implement AI solutions without sacrificing on efficiency and privacy - moving away from “big-model, cloud-first” toward efficient, on-premises, privacy-first small language models (SLMs).
What to expect
A panel discussion featuring three leading voices in privacy-first AI and small language models:
🎤 Selim Nowicki, Co-founder of distil labs
🎤 Irene Cáceres Muñoz, Developer Relations at Multiverse Computing
🎤 Paulina Weiss, AI Project Manager at Merantix Momentum
A hands-on workshop led by Multiverse Computing where participants will dive into small language model deployment, private inference strategies, and architectures that keep sensitive data on-device or within enterprise-boundaries.
Format: Expert presentation, Business meal
Topic: Merantix AI Campus, Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, Cloud Technology
Distribution: in-person
Talk language: English
Ticket cost: Free access