Retrieval-Augmented Generation (RAG) systems have gained strong traction because of their ability to ground generated answers in knowledge sources, boosting their accuracy and reliability. However, evaluating them remains tricky, especially when there's no clear ground truth data to compare against.

The rapid pace of developments in AI has made selecting the most suitable base model for a given task increasingly complex. Determining...

Zeta Alpha was proud to participate as an exhibitor this year at Hannover Messe , one of the world's largest industrial trade fairs,...