Prompt engineering is the art of crafting effective instructions to get the best results from AI. A well-written prompt can dramatically improve the quality of AI responses.
Core Prompt Engineering Techniques:
- Be Specific: Clearly define what you want
- Role Assignment: Ask AI to assume a specific role
- Step-by-Step Instructions: Break complex tasks into steps
- Provide Examples: Show the format you want
- Set Constraints: Define length, tone, style
- Iterative Refinement: Build on previous responses
Advanced Prompt Templates:
Template 1: Content Creation
"Act as a [industry] expert. Write a [type of content] about [topic] targeting [audience]. The content should be [length] words, use [tone], include [key points], and end with [call to action]. Structure it with [format]."
Template 2: Problem Solving
"I'm facing this problem: [describe problem]. My constraints are: [list constraints]. The ideal solution should: [desired outcomes]. Please analyze this problem, suggest [number] solutions with pros and cons, and recommend the best approach with implementation steps."
Template 3: Learning & Explanation
"Explain [complex topic] to someone with [level of knowledge] background. Use analogies and simple language. Break it down into [number] key concepts. Provide real-world examples. Include common misconceptions to avoid."
Context Management Strategies:
- Conversation Memory: ChatGPT remembers context within a session
- Follow-up Prompts: Build on previous responses
- Context Reset: Start new chat when context becomes cluttered
- Important Info First: Put crucial information early in prompt
- Reference Previous: Use phrases like "based on what you said earlier"