Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...

A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...