Generative AI for the Industry of Tomorrow

With the GenAI project, FH JOANNEUM is investigating how the next generation of large language models can be applied in practical industrial settings. The project is part of RADIUS, FH JOANNEUM’s largest COIN research project, and focuses on making advanced language-model methods useful in real workflows.

Key topics include retrieval-augmented generation (RAG), context-aware language models, and named entity recognition. Together, these approaches help language models work with additional data sources, interpret information more accurately in context, and support more targeted answers in areas such as support, documentation, and knowledge-intensive processes.

Another central part of the project is the use of knowledge graphs, which help structure extracted information and reveal relationships between products, processes, and actors. This creates a foundation for smarter information systems that can be integrated into operational environments.

The project also explores personalised language models tailored to the needs of specific organisations, departments, or industries. In that sense, GenAI shows how generative AI can move beyond generic demos and become a practical tool for the industry of tomorrow.

Source: FH JOANNEUM, “Generative AI for the industry of tomorrow”