Prompt engineering tip to elicit high-quality responses from ChatGPT, Claude, Gemini, Perplexity.ai, etc | Promptrr.io

Here’s a prompt engineering tip to elicit high-quality responses:

This prompt is designed to:

1. Encourage simplicity: By asking you to explain something complex in simple terms, this prompt encourages the LLM to use clear language and avoid jargon.
2. Provide context: The scenario of explaining to someone with no prior knowledge helps the model understand that it needs to provide a comprehensive introduction rather than just listing facts or definitions.
3. Focus on key points: By asking for an overview, this prompt encourages the LLM to identify essential information and prioritize what’s most important.

Additional tips:

• Use specific topics or questions when prompting the LLM.
• Encourage the model to provide examples or anecdotes by adding phrases like “with real-world applications” or “using concrete examples.”
• Ask follow-up questions based on the initial response, such as “Can you elaborate on that point?” or “How does this relate to [other topic]?”
• Experiment with different prompt styles and tone (e.g., formal vs. informal) to see how they affect the LLM’s responses.

Feel free to modify this prompt template according to your specific needs!