Pushing for a higher speed isn't just for athletes. Researchers, too, can achieve such feats with their discoveries. This is the case for Jinyang Liang, Professor at the Institut national de la recherche scientifique (INRS), and his team, whose research results have recently been published in Nature Communications.

Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don’t fully grasp how they work.

In an effort to better understand what is going on under the hood, researchers at MIT and elsewhere studied the mechanisms at work when these enormous machine-learning models retrieve stored knowledge.

Funded by the Program Interreg Sudoe of the European Union, it brings together institutions and companies from Spain, Portugal, France and the Principality of Andorra, with the collaboration of the Institute of Microelectronics of Barcelona. They will work on the development of devices that measure meteorological and environmental parameters relevant to fire risk assessment by municipalities and local communities in high fire risk areas.