Silo AI is one of Europe’s largest private AI labs, building AI-driven solutions and products to enable smart devices, autonomous vehicles, industry 4.0, and smart cities.
Today it announces SiloGen, a large-scale initiative on generative AI and Large Language Models (LLMs). It gathers some of Europe’s leading generative AI and Large Language Model (LLM) experts and access to data sources, powerful computational resources, and infrastructure to train, run and operate LLMs.
It aims to improve downstream and domain-specific applications and to ensure companies can utilise trusted models for private, confidential and proprietary data.
SiloGen calls for independent LLMs that can be fine-tuned and instructed to be optimal for a wide range of applications and eventually allow for processing private, proprietary and confidential data.
Peter Sarlin, CEO and co-founder of Silo AI, says:
“Generative AI is much more than an LLM with linguistic precision, as we need to ensure that the underlying data, and hence knowledge, is representative of the citizens and organisations in the region.”
Tero Ojanperä, Executive Chairman and co-founder of Silo AI, believes all companies should “consider how they best create sustained value with generative AI, while also ensuring they utilise trusted models for private, confidential and proprietary data.”
SiloGen also has strong ties to the University of Turku’s TurkuNLP research lab, part of the EU-funded High-performance Language Technologies project to introduce open LLMs for all EU languages, including Swedish, Danish, Icelandic, and Norwegian.
The SiloGen team has already built a unique infrastructure to train, run and operate LLMs at scale in production. Part of the team also has experience from the LUMI pilot project FinnGen and the LUMI Extreme Scale Project Foundation for Finnish AI.
Lead image: Pixabay.