Identify the Mistake

  1. Clearly define what the AI did wrong—was it a factual error, misunderstanding, bias, or something else?

Provide Feedback

  1. Most AI systems improve with feedback. If you spot a mistake, document it and, if possible, use the built-in feedback tools or report it to the support team.

Clarify Your Request

  1. Sometimes, AI errors happen due to vague or ambiguous instructions. Try rephrasing your question or providing more context.

Check for Updates

  1. AI models are regularly updated. Make sure you’re using the latest version or features, as improvements may address previous mistakes.

Human Review

  1. For critical tasks, always have a human review the AI’s output, especially if the decision has significant consequences.

Retrain or Fine-Tune

  1. In advanced settings, organizations can retrain or fine-tune AI models with more accurate or relevant data to reduce mistakes.

Set Clear Boundaries

  1. Use AI for tasks it’s well-suited for, and avoid relying on it for areas where it’s known to make frequent errors.

Beginning to

solve…

Our DAPP in

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