Notes from the review queue

RAG Eval Sets: The Secret to a Reliable AI Product

Imagine an AI system advising a doctor on treatment protocols or summarizing a patient’s medical history. A single hallucinated fact could be disastrous. This is why Retrieval-Augmented Generation (RAG) is essential: it anchors the LLM to a verified knowledge source (like internal clinical guidelines or legal documents), ensuring the answer is accurate, up-to-date, and fully […]