When you feed an AI model your own documents, databases, or proprietary information, you give it concrete material to reference instead of relying on its training data alone. This transforms vague or generic responses into specific, contextually relevant answers grounded in what actually matters to your situation.
Grounding is the practice of giving an AI specific facts, documents, or context from your own life or work so its responses are anchored to real and relevant information rather than general knowledge.
When you ground an AI response, you reduce guesswork and hallucination, producing advice and outputs that actually apply to your unique situation instead of generic scenarios.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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