Developed by the OpenLLM-France community led by LINAGORA, Lucie-1B is a multilingual foundation language model with a focus on French language and culture. This project aims to offer a truly open alternative that complies with ethical and legal...

Faced with the explosion of astronomical data (hundreds of terabytes, hundreds of millions of objects), AION-1 unifies, for the first time, the analysis of heterogeneous observations in a single model of over 3 billion parameters. This foundational...

What if an autonomous car could learn simply by watching freely available driving videos online? Our project explores this radical idea: training a 1.2-billion-parameter model on 1,800 hours of unannotated dashcams, with no calibration or maps. This...

The vast majority of small open-source LLMs show significant performance variations depending on the language used. As part of this project, we propose a new version of the Vigogne model family: a series of SLMs specifically optimized for French...

Voltage-gated ion channels play a central role in cellular excitability. Mutations can induce pathologies such as cardiac arrhythmias, hypertension, or epilepsy. This project combines artificial intelligence and molecular dynamics simulations to...

Pleias 1.0 is the first family of language models trained exclusively on open data under a license that permits redistribution. Using the Jean Zay supercomputer, this project demonstrates that it is possible to reconcile performance, energy...

This project aims to develop a foundation model in histology. This artificial intelligence (AI) tool, trained on millions of images of human tissue, could revolutionize diagnosis and biomedical research. By analyzing complex cellular patterns, it can...