Steps Toward AI - Deepstash
Steps Toward AI

Steps Toward AI

Curated from: stepstowardai.blogspot.com

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How to write effective prompts ?

How to write effective prompts ?

Prompts are instructions given to a language model to tell it what to do. They can be used for a variety of purposes, such as generating text, translating languages etc. By following a few simple tips, you can write prompts that are clear, concise, and informative.

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Here are some tips for writing effective prompts:

  • Be clear and specific in your instructions. Tell the language model exactly what you want it to do. The more specific you are, the better the results will be.
  • Provide the language model with all the information it needs to complete the task. This may include background information, context, and examples.

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Simplify and Break Down

  • Use simple and straightforward language. Avoid using jargon or technical terms that the language model may not understand.
  • Break down complex tasks into smaller, more manageable steps. This will make it easier for the language model to understand what you want it to do.

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Illuminate with Examples, Refine with Tests

  • Use examples to illustrate what you want the language model to produce. This can help the language model understand your expectations and produce the desired results.
  • Test your prompts and refine them as needed. If you're not getting the results you want, try rephrasing your prompts or providing more information.

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Here are some examples of effective prompts:

  • Write a short poem in the style of a haiku about a playful cat.
  • Write a summary of the article "The Future of Artificial Intelligence" by Kai-Fu Lee.
  • Translate the following sentence into Spanish, using a romantic tone: "I love you."
  • Write a code snippet that solves the following problem: Find the maximum value in a list of numbers.

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Here are some examples of ineffective prompts:

  • Write something good.
  • Summarize that article.
  • Translate that sentence.
  • Solve that problem.

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Be realistic in your expectations

Language models are still under development, and they may not be able to generate perfect results every time. If you are not getting the results you want, try rephrasing your prompt or providing more information.

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