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How to Reduce Hallucinations

When accuracy matters, treat the model like a helpful intern: require sources, constrain inputs, and verify output.

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1) Ground the model in your data

Use only the information in the text below.
If something is missing, say “unknown”.
Text: [paste]

2) Ask for assumptions explicitly

List the assumptions you’re making.
Then answer using those assumptions as bullet points.

3) Ask for uncertainty labels

  • “Mark each claim as high/medium/low confidence.”
  • “What would you need to confirm this?”

4) Force a verification step

After answering, add a “Verification checklist” of things I should confirm.
Rule of thumb: If the answer would be expensive or embarrassing to get wrong, double-check it.

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