Prompt Engineering Principles of Prompt Engineering Types of prompts Large Language Model(LLM) Basic prompt examples Intermediate prompt examples Advanced prompt examples Prompt Engineering Quiz

Intermediate-level prompt examples

Some intermediate-level prompt examples that involve more complexity or require multiple steps:

  1. Mathematical Expression Evaluation: Prompt: "Evaluate the expression (3 + 2) * 4 / 2."

  2. Data Analysis: Prompt: "Given a list of numbers [12, 5, 8, 20, 15], calculate the mean and standard deviation."

  3. Argumentative Essay: Prompt: "Write a persuasive essay discussing the pros and cons of implementing renewable energy sources on a global scale."

  4. Code Debugging: Prompt: "Identify and fix the error in the following Python code: 'for i in range(5)'"

  5. Literary Analysis: Prompt: "Analyze the theme of 'freedom' in George Orwell's novel '1984,' providing examples from the text."

  6. Historical Comparison: Prompt: "Compare and contrast the causes and consequences of World War I and World War II."

  7. Scientific Hypothesis: Prompt: "Formulate a scientific hypothesis to test the effects of different soil types on plant growth."

  8. Complex Translation: Prompt: "Translate the following paragraph about artificial intelligence advancements into German, maintaining the technical terminology."

  9. Algorithm Design: Prompt: "Design an algorithm to find the largest element in an array of integers."

  10. Policy Recommendation: Prompt: "Provide a comprehensive policy recommendation for addressing cybersecurity threats in government organizations."

  11. Ethical Dilemma Analysis: Prompt: "Analyze the ethical dilemma presented in the 'trolley problem,' discussing different philosophical perspectives on the issue."

  12. Market Analysis: Prompt: "Conduct a market analysis for a new smartphone, including target demographics, competitive landscape, and potential challenges."

These intermediate prompts require a deeper understanding of the subject matter and often involve multi-step processes, critical thinking, and a more nuanced response. Keep in mind that the model's accuracy in generating complex content might vary, and you may need to fine-tune your prompts to achieve the desired level of detail and coherence.

Examples of intermediate prompts:

  • Write a poem about the beauty of nature.
  • Design a new logo for a company.
  • Come up with a new invention.
  • Write a song about a lost love.
  • Create a marketing campaign for a new product.
  • Write a blog post about a current event.
  • Write a screenplay for a short film.
  • Translate a document from one language to another.
  • Write a research paper on a specific topic.
  • Create a presentation on a specific topic.

These are just a few examples, and there are many other possibilities. The key to writing an intermediate prompt is to be specific and to provide enough information for the LM to understand what you are asking for.

Some additional tips for writing intermediate prompts:

  • Use keywords. The more keywords you use, the more likely the LM is to understand what you are asking for.
  • Provide examples. If possible, provide the LM with examples of the desired output. This will help the model to learn how to generate similar text.
  • Be patient. It may take some trial and error to find the right prompts for the task you are trying to accomplish.

 

Intermediate-level prompt examples


Enroll Now

  • Python Programming
  • Machine Learning