Including examples in your prompts is a powerful technique to steer AI models toward producing the outputs you desire. By providing a few well-chosen examples, you can significantly enhance the accuracy, consistency, and quality of the AI’s responses.

This method, often referred to as few-shot or multishot prompting, is especially effective for tasks that require the AI to follow specific formats or produce structured content.

Incorporate at least 3 diverse and relevant examples in your prompts to show the AI exactly what you expect.

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Benefits of Using Examples

  • Clarifies Intent: Examples help the AI grasp the nuances of your request, reducing misunderstandings.
  • Ensures Consistency: By demonstrating the desired format or style, you encourage the AI to produce uniform outputs.
  • Enhances Performance: Examples can boost the AI’s ability to handle complex or specialized tasks effectively.

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How to Write Examples

To get the most out of this approach, keep the following tips in mind:

  • Relevance is Key: Your examples should closely mirror the task you want the AI to perform. This ensures the AI understands the context and specifics of your request.
  • Include Variety: Providing diverse examples, including edge cases or challenging scenarios, helps the AI generalize and avoid overfitting to a narrow pattern.
  • Maintain Clarity: Clearly separate your examples from the rest of your prompt. You can use formatting tools like bullet points, numbering, or tags to organize your examples.

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Example

Clear and Concise LanguageStep-by-Step Reasoning