Model Grounding
The process of connecting AI responses to verifiable sources and factual data, ensuring outputs are traceable and accurate.
Why Model Grounding matters
Grounding builds trust in AI-generated content by providing citations and preventing the spread of misinformation.
Model Grounding in context
As AI-powered discovery replaces traditional search, understanding Model Grounding is a core competency for modern brands. It sits in the AI & GenAI family of concepts and directly influences how language models like ChatGPT, Gemini, Claude, and Perplexity surface, cite, and recommend brands.
Related Terms
Large Language Model (LLM)
A neural network trained on massive text datasets to understand and generate human-like language, powering tools like ChatGPT, Claude, and Gemini.
Generative AI (GenAI)
AI systems that create new content - text, images, video, code - by learning patterns from training data rather than following explicit rules.
Token
The fundamental unit of text processing in LLMs, typically representing a word, part of a word, or punctuation mark.