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AI / Agentic AI Interview Questions

What is Grounding in the context of AI agents?

Grounding refers to connecting an agent's reasoning and language output to real, verifiable information or a real environment, rather than letting it generate plausible-sounding but unverified claims.

  • Retrieval-augmented generation grounds answers in retrieved documents
  • Tool use grounds actions in real API responses and environment feedback, not just the model's internal assumptions
  • ReAct's explicit observation step is itself a grounding mechanism, forcing the agent to react to what actually happened rather than what it expected to happen

Poorly grounded agents are the ones most prone to hallucination and confidently wrong actions, since without a grounding mechanism, there's nothing forcing their reasoning to stay tethered to reality.

What does grounding connect an agent's output to?
What is a common consequence of poor grounding?

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