The Complete Guide to LLM Grounding: How to Create Content That AI Systems Trust and Cite

Grounding in the context of Large Language Models (LLMs) refers to the process of anchoring AI-generated responses to explicit, verifiable, and contextually relevant data sources. Rather than relying solely on patterns learned during training, grounded LLMs connect their outputs to real-world, up-to-date information that can be traced and verified.