Prompt Engineering for ChatGPT: "PMCI" Method
Mark Rollins M.Sc.,B.Sc., Cert.Ed, PGDip
eLearning Developer | Instructional Designer | Curriculum Developer | LMS Developer | Ai Implementation | EPR |
Introduction to Prompt Engineering Methodology?
Effective prompt engineering is a crucial aspect of utilising AI language models like GPT-4. To optimize the quality and relevance of generated responses, we have developed a methodology that encompasses three primary categories based on process and outcome. These categories streamline the process of creating effective prompts and can be applied to a wide range of tasks and applications.?
By adopting this comprehensive methodology, users can create effective prompts that enhance the utility of AI language models like GPT-4 and achieve desired outcomes across various tasks and domains.?
Creating effective prompts for GPT-4 involves a combination of techniques and considerations. Here are some best practices for prompt engineering:?
?Best Practices
Specific Examples & Explanation
Below are specific examples demonstrating each best practice mentioned:?
General Prompt: "Tell me about a scientific discovery." Improved Prompt: "Explain the discovery of the Higgs boson and its significance in particle physics."?
Explanation: The improved prompt is more specific about the scientific discovery in question, focusing on the Higgs boson, which provides clearer guidance for the model.
2. Provide context and examples:?
Vague Prompt: "Write a haiku." Improved Prompt: "Write a haiku about the changing seasons, with the first line containing 5 syllables, the second line containing 7 syllables, and the third line containing 5 syllables."?
Explanation: The improved prompt provides context (changing seasons) and explicitly states the format and structure of a haiku, helping the model generate an appropriate response.?
3. Limit the response length:?
General Prompt: "Summarise the plot of 'Romeo and Juliet'." Improved Prompt: "In 50 words or less, provide a concise summary of the plot of Shakespeare's 'Romeo and Juliet'."?
Explanation: The improved prompt sets a word limit to encourage a brief, focused response and avoid overly lengthy answers.
4. Use step-by-step instructions:?
Single Prompt: "How can I reduce stress in my life?" Step-by-Step Prompt: "Identify three common stressors in daily life, then provide one coping strategy for each stressor to help manage stress levels."?
Explanation: Breaking the prompt into smaller tasks (identifying stressors and providing coping strategies) guides the model in generating a more structured and focused response.?
5. Experiment with different prompt formulations:?
Prompt A: "What are the symptoms of the flu?" Prompt B: "List common signs and symptoms of influenza."?
Explanation: Trying different phrasings can help you determine which formulation produces the most accurate and relevant information.?
6. Leverage system parameters:?
Prompt: "Write a poem about the beauty of nature." Adjust temperature settings to control the randomness and focus of the generated response.?
Explanation: By adjusting the model's temperature, you can influence the creativity and focus of the generated poem, leading to more varied or consistent output.?
7. Encourage the model to think step-by-step or debate pros and cons:?
Single Prompt: "Is remote work a good option for companies?" Improved Prompt: "Analyse three advantages and three disadvantages of remote work for companies, and provide a conclusion on whether it's a good option overall."?
Explanation: Encouraging the model to weigh pros and cons results in a more comprehensive and balanced response, rather than a simple yes or no answer.?
8. Iterate and refine:?
Initial Prompt: "Explain the benefits of meditation." Refined Prompt: "Describe four mental and emotional benefits of practicing meditation regularly, and explain how these benefits can improve daily life."?
Explanation: Refining the prompt to specify the type of benefits and connecting them to daily life improvements guides the model towards a more focused and relevant response.?
As you create prompts, remember to experiment with different techniques and iterate based on the model's responses to achieve the desired output.?
PMCI (Methodology)?
These could be grouped into three categories based on their process or outcome:?
2. Model control and guidance:?
3. Iteration and improvement:?
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Worked Example
Let's assume a teacher wants to create a lesson on "Climate Change" for a high school group. Here's a demonstration of a prompt using the three categories of the prompt engineering methodology:?
2. Model Control and Guidance:?
3. Iteration and Improvement:?
After receiving the initial response from the model, evaluate the generated lesson plan for clarity, relevance, and completeness. If necessary, refine the prompt or provide additional information to improve the output.?
Final Prompt: "Develop a detailed lesson plan for a 1-hour high school class discussing the causes, consequences, and possible solutions for climate change. The lesson should be divided into four sections: introduction, causes, effects, and solutions. Include real-life examples, case studies of successful initiatives, and a segment for students to debate the pros and cons of various mitigation strategies."?
By using this methodology, you can create an effective prompt that guides the model to generate a comprehensive lesson plan on climate change tailored to a high school audience.?
Develop a detailed lesson plan for a 1-hour high school class discussing the causes, consequences, and possible solutions for climate change. The lesson should be divided into four sections: introduction, causes, effects, and solutions. Include real-life examples, case studies of successful initiatives, and a segment for students to debate the pros and cons of various mitigation strategies. Do you have any questions?
Resultant Output?
Here's a lesson plan that meets your requirements:?
Topic: Causes, Consequences, and Possible Solutions for Climate Change?
Grade Level: High School?
Duration: 1 hour?
Objectives:?
Materials:?
Procedure:?
Introduction (10 minutes)?
Causes (20 minutes)?
Effects (20 minutes)?
Solutions (20 minutes)?
Debate (10 minutes)?
**Conclusion?
(5 minutes)?
Assessment:?
Extension activities:?
Do you have any questions or additional input on this lesson plan??