NLP
Grounding
Connecting an AI's responses to real, verifiable facts, so it talks about reality instead of making things up.
Definition
The process of anchoring AI-generated outputs to factual, verifiable information sources. Techniques include RAG, citation, and fact-checking steps. The primary defense against hallucination.
Why it matters
Without grounding, generative AI is a confident liar. With it, it becomes a reliable research assistant.
Related terms in NLP
BERT
Google's breakthrough AI model that reads sentences in both directions at once to understand context better.
Chain of Thought (CoT)
Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.
Context Window
The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
From vocabulary to outcomes
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