Open-RAG-Eval is an open-source framework that revolutionizes RAG evaluation by harnessing the power of LLM judges for scalable, automated evaluation without the need for golden answers or golden chunks. Building on pioneering research from the University…

No one agrees on the exact number, but estimates say anywhere from 50% to 80% of AI projects end in failure.

A deep dive into advanced evaluation for data scientists The post Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need appeared first on Towards Data Science. Generated…