Igor Carron gave a talk on Generative AI at AAST

The recent release of ModernBERT by LightOn and AnswerAI aims at providing the best base model that can be then used in different industry verticals. Today, Thomas Sounack from the Dana-Farber Cancer Institute in collaboration with researchers at Harvard University, LightOn, MIT, McGill University, Albany Medical College and Microsoft Research, used this capability and trained a new State-Of-The-Art (SOTA) medical encoder named BioClinical ModernBERT.

After the recent release of GTE-ModernColBERT exhibiting state-of-the-art results on long-context retrieval, LightOn announces a major leap forward in AI-driven knowledge discovery: Reason-ModernColBERT, an open-source multi-vector model purpose-built for Deep Research applications.

LightOn is proud to announce the release of GTE-ModernColBERT, our new state-of-the-art, open-source, multi-vector retrieval model. By leveraging ModernBERT architecture and our innovative PyLate library, we've created a solution that sets a new milestone in the field and addresses the complex challenges of modern enterprise information retrieval.