Retrieval-Augmented Generation

Why Language Models Invent Facts, and Why Test Scoring Keeps It Alive

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Why Language Models Invent Facts, and Why Test Scoring Keeps It Alive

OpenAI and Georgia Tech researchers asked a latest-generation open model for co-author Adam Tauman Kalai’s birthday, adding one condition: answer only if you know. Three attempts produced three different dates, all false; it never admitted ignorance. That example opens Why Language Models Hallucinate (September 2025), which says the problem comes from text-prediction training and from … Read more

RAG Explained: Grounding Chatbots in Your Own Files Cuts Errors, Not All of Them

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RAG Explained: Grounding Chatbots in Your Own Files Cuts Errors, Not All of Them

Ask a general-purpose chatbot about an internal policy and it will often answer from memory — fluently, confidently and occasionally wrong. Retrieval-augmented generation, better known as RAG, is the fix the industry settled on: before composing a sentence, the system searches a document collection you supplied, pulls the passages that look relevant and drafts its … Read more