The LLMs4EU project has selected five key sectors for use case development due to their significant growth potential and alignment with Europe’s strategic goals.

Discovery and exploration of scientific knowledge will be improved through natural language queries and retrieval-based synthesis. Researchers, archivists, and librarians will obtain contextualised insights across publications, datasets, and software.

Retrieval-Augmented Generation (RAG) will be used to transform complex public administration data into intuitive, AI-driven support for citizens and civil servants. The aim is to bridge the gap between intricate legislation and everyday needs to streamline assistance and communication within public service delivery.

A Cultural Tourist AI Assistant will enhance the travel experience by providing personalised, conversational access to factual heritage data. By highlighting Europe’s hidden gems and lesser-known destinations, the system enhances the visitor journey while actively promoting sustainable tourism.

LLMs will be fine-tuned for the EU telecom sector to power specialised AI services like secure data anonymisation and sentiment analysis. These tailored solutions will resolve complex queries and identify intent and urgency to optimise the customer experience.

A multi-modal LLM will be developed for European nuclear engineers to streamline the management of complex, highly-regulated technical content. By automating the mapping of complex requirements to system structures, the LLM aims to generate transparent allocation matrices that ensure regulatory compliance.