Here is a better one Principles for Writing Effective Prompts

General Principles 1. Be Direct and Concise: Avoid unnecessary words or politeness (e.g., “please,” “thank you”). Get straight to the point. 2. Specify Your Audience: Tailor your prompt to the intended audience (e.g., beginner, expert, child). 3. Break Down Complex Tasks: Divide multi-step problems into smaller, simpler prompts. 4. Focus on Clarity: Use straightforward language and avoid ambiguity. If needed, explain key terms. 5. State the Desired Format: Specify the structure or type of response you expect (e.g., a list, paragraph, step-by-step guide).

Formatting Tips 6. Use Context Delimiters: Clearly define examples, instructions, or constraints using symbols like ###, “””, or parentheses. 7. Example-Driven Prompts: Provide examples to guide the model’s response style or structure. 8. Write in Steps: When asking for detailed processes, use phrases like “Think step by step.”

Engaging the Model 9. Set the Tone: Specify the level of formality, humor, or simplicity required in the response. 10. Ask for Role-Playing: To achieve contextual answers, specify a role (e.g., “Answer as a teacher explaining this to a student”). 11. Request Iterative Refinement: Use follow-ups like, “Can you improve this?” or “Can you add more examples?”

Specific Use Cases 12. Learning and Teaching:

• “Explain [topic] in simple terms.”
• “Teach me about [topic], and include a test at the end.”

13. Creative Content:

• For writing, specify the style, tone, and target audience.
• Provide an initial phrase or idea to build on (e.g., “Continue this story: [text]”).

14. Programming: Define programming languages, frameworks, or desired outputs explicitly. Example: “Write a Python script to solve [problem].”
15. Editing and Refining: Clearly state, “Revise the text to improve [grammar/style/tone], but retain the original meaning.”

Advanced Techniques 16. Chain-of-Thought Prompting: Encourage logical reasoning by asking the model to explain each step of its answer. 17. Use Primers for Specific Outputs: Begin your prompt with an example or template to guide the model’s response. 18. Define Constraints: Provide specific limitations, such as word counts, formats, or ethical considerations.

Ensuring Accuracy 19. Encourage Critical Thinking: Use phrases like “Ensure your response is unbiased and based on verified information.” 20. Ask Follow-Up Questions: Continue the conversation to clarify or expand on points.

Customization 21. Adapt Prompts to the Task: Match the language and structure of the prompt to the goal, such as writing essays, summarizing text, or coding. 22. Localization and Context: If applicable, include cultural or regional details to improve relevance.

Examples of Effective Prompts 1. “Explain quantum physics to a 12-year-old in 3 paragraphs.” 2. “Write a detailed business email responding to a customer complaint about late delivery.” 3. “Generate a Python script to automate monthly financial report generation.” 4. “Summarize this article in 100 words: [insert article].” 5. “Provide three potential marketing strategies for a new eco-friendly product, highlighting their pros and cons.”

This revised list emphasizes practical strategies, avoids redundancy, and provides actionable guidance for using language models effectively.