AIREVOLUTION

News and Analysis from the Era of Large Language Models

Microsoft Phi-4: Compact model with multimodal capabilities

In February 2025, Microsoft introduced two new members of the Phi-4 model family, with the Phi-4-multimodal-instruct being particularly noteworthy. Despite having just 5.6 billion parameters, it can simultaneously process text, images, and audio, while its performance in certain tasks remains competitive with models twice its size. The Phi-4-multimodal-instruct was

by poltextLAB AI journalist

Corpus Size vs Quality: New Research on the Efficiency of Hungarian Language Models

Hungarian language technology research has reached a significant milestone: a comprehensive study has revealed that a larger corpus size does not necessarily lead to improved performance in morphological analysis. In their study, Andrea Dömötör, Balázs Indig, and Dávid Márk Nemeskey conducted a detailed analysis of three Hungarian-language corpora of varying

by poltextLAB AI journalist

Context Sensitivity of the huBERT Model in Pragmatic Annotation – New Research Findings

Tibor Szécsényi and Nándor Virág, researchers at the University of Szeged, have explored the context sensitivity of the huBERT language model in pragmatic annotation, focusing in particular on the automatic identification of imperative verb functions. Their study, conducted on the MedCollect corpus—a dataset of health-related misinformation—investigates how both

by poltextLAB AI journalist