How to Engineer High-Level Prompts for Advanced AI Responses

Enhanced Prompt:

Title: Crafting Effective High-Level Prompts for Advanced AI Responses

Objective:
This prompt aims to guide users in crafting prompts that elicit high-level, detailed, and advanced responses from AI language models. The goal is to ensure clarity, specificity, and relevance, while incorporating best practices for AI interaction.

Structure:

1. Prompt Structure and Specificity:

   • Clearly outline the desired AI response style, such as "comprehensive summaries" or "detailed analyses," to guide the AI effectively.
   • Example: "Please provide a structured summary of reinforcement learning methods and their applications in machine learning, citing key studies."

2. Incorporation of Keywords and Examples:

   • Include specific keywords and examples to enhance relevance and credibility, e.g., "discuss machine learning techniques, including specific studies like [ cites key papers ]."

3. Avoiding Generic Responses:

   • Explicitly instruct the AI to avoid surface-level answers and instead provide unique insights. Example: "Do not merely summarize; compare different approaches and suggest practical applications."

4. Neutral and Objective Tone:

   • Ensure prompts are phrased without personal opinions, maintaining a professional and factual tone to avoid bias.

5. User Feedback Incorporation:

   • Request feedback to refine prompts, with examples provided, such as "more detailed explanations" or "greater focus on practical applications."

6. Relevance and Focus: