Prompt Engineering Cheatsheet
Prompt engineering is the process of designing effective prompts for AIs.
Principles of Effective Prompts
- Clarity: Prompts should be clear and concise, with unambiguous language and a defined scope.
- Completeness: Prompts should provide all necessary information to generate a desired response.
- Relevance: Prompts should be relevant to the task at hand and avoid unnecessary information.
- Consistency: Prompts should be consistent in their structure, language, and formatting.
- Simplicity: Prompts should be simple and easy to understand, avoiding complex syntax or overly technical terms.
Types of Prompts
- Open-ended: Prompts that allow for a wide range of responses, often used for creative tasks or generating diverse outputs.
- Closed-ended: Prompts that require specific types of responses, often used for more structured or quantitative tasks.
- Directed: Prompts that provide specific guidance or constraints on the response.
- Undirected: Prompts that provide no specific guidance or constraints on the response.
Best Practices
- Test and refine: Test prompts with multiple AIs and refine based on performance and feedback.
- Include examples: Provide examples of desired responses to clarify the prompt.
- Collaborate: Work with domain experts to ensure prompts are relevant and accurate.
- Balance complexity: Avoid overly complex prompts that may be difficult for AIs to understand.
- Monitor performance: Continuously monitor AI performance and adjust prompts as necessary.
Resources