We’ve written about prompt engineering, what involves “writing a good ChatGPT prompt” and highlighted the key elements to ensure you receive accurate, relevant, and insightful responses.

Crafting prompts is often an iterative process, and your first iteration of a prompt can come from an GPT itself.

So, we prepared a template how to instruct a Language Model (LLM) to generate effective prompts.

Instructing LLMs to Generate Effective Prompts

This guide provides a standardized method for instructing Language Models (LLMs) to generate prompts for various tasks. Adhering to the principles of effective prompt design, this approach aims to optimize the AI's output for accuracy, relevance, and insight.

To generate a prompt for any taks we have to ensure the prompt adheres to the principles outlined in the guide 'What Makes a Good Prompt.' Specifically, your generated prompt should:

1. Be Clear and Specific: Clearly define the task or question, avoiding any ambiguity. Provide sufficient detail to guide the AI accurately.
2. Avoid Ambiguity: Use precise language and clarify any potential areas of confusion. Ensure the prompt is unambiguous and directed towards the intended task.
3. Include Relevant Context: Incorporate necessary background information to provide context for the task. This helps the AI understand the scope and depth of the response required.
4. Utilize Appropriate Keywords and Phrases: Employ relevant keywords and phrases that signal the desired tone, style, or technical level. Guide the AI to the expected level of complexity and specificity.
5. Structured Querying for Complex Tasks: If the task is complex, break down the prompt into smaller, manageable parts. Use a logical, step-by-step approach to guide the AI.
6. Specify Desired Output Structure: Indicate if the response should follow a specific format, such as a list, essay, summary, etc. Include an example if possible.
7. Balance Brevity with Detail: Ensure the prompt is concise but contains enough information to be effective. It should be neither too brief nor overly verbose.
8. Adapt to AI Capabilities and Limitations: Tailor the prompt to align with what AI can realistically achieve, keeping in mind its strengths and limitations.

Remember, the goal is to create a prompt that elicits the most accurate, relevant, and insightful response from the AI for your desired task.

Instruction Template for Generating Prompts

When requesting an LLM to create a prompt for a specific task, use the following structured instruction:

"Generate a prompt for [INSERT TASK HERE]. Ensure the prompt adheres to the following principles outlined in the guide 'What Makes a Good Prompt':


Clarity and Specificity: The prompt should clearly and specifically define the task or question, avoiding ambiguity and providing sufficient detail.


Avoidance of Ambiguity: Employ precise language and clarify any potential areas of confusion to ensure the prompt is directed towards the intended task.


Inclusion of Relevant Context: Add necessary background information to provide context for the task, helping the AI understand the scope and depth of the response required.


Use of Appropriate Keywords and Phrases: Utilize relevant keywords and phrases that signal the desired tone, style, or technical level, guiding the AI to the expected level of complexity.


Structured Querying for Complex Tasks: For complex tasks, break down the prompt into smaller, manageable parts, using a logical, step-by-step approach.


Specification of Desired Output Structure: Indicate if the response should follow a specific format (e.g., list, essay, summary) and provide an example if possible.


Balance of Brevity with Detail: The prompt should be concise yet contain enough information to effectively guide the AI.


Adaptation to AI Capabilities and Limitations: Tailor the prompt to align with what the AI can realistically achieve, considering its strengths and limitations.


The goal is to elicit the most accurate, relevant, and insightful response from the AI for [INSERT TASK HERE]."

Usage

Replace [INSERT TASK HERE] with the specific task or question you want the AI to generate a prompt for. This template is adaptable to a wide range of tasks and can be modified to suit specific requirements or contexts.

Best Practices

• Iterative Approach: If the initial response isn’t as expected, refine your instruction based on the AI’s output and try again.
• Feedback and Collaboration: Encourage feedback from colleagues and collaborative refinement of the instruction template to enhance its effectiveness.

Conclusion

This guide aims to standardize the process of generating a first iteration of new prompts using LLMs like ChatGPT, ensuring that the responses are as effective and useful as possible. By following these guidelines, we can leverage the full capabilities of AI in our workflows.