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Prompt Engineering
- Introduction
- Model Basics
- Prompt Structures
- Clarity & Specificity
- Using Context
- Role Instructions
- Step-by-Step
- Handling Ambiguity
- Creativity vs Precision
- Using Examples
- Advanced Techniques
- Troubleshooting
- Common Pitfalls
- Evaluating Quality
- Real-World Examples
- Prompt Templates
- AI Tasks
- Safety & Ethics
- Multimodal Prompts
- Data Extraction
- Conversation
- Personalization
Basic Prompt Structures
A well-structured prompt sets the stage for a great AI response. Understanding different prompt structures helps you communicate your intent clearly and get the results you want. Here are some common structures, with tips and expanded examples:
1. Instruction
Use direct instructions to tell the AI exactly what you want it to do.
Summarize the following article.Expanded Example:
Summarize the following article in 3 sentences, focusing on the main arguments and key data points.2. Question
Ask a specific question to get a focused answer.
What are the benefits of prompt engineering?Expanded Example:
What are the top three benefits of learning prompt engineering for someone working in education?3. Input + Instruction
Combine input data with a clear instruction for more complex tasks.
Text: The quick brown fox jumps over the lazy dog.
Task: Summarize the text above in one sentence.Expanded Example:
Text: The quick brown fox jumps over the lazy dog.
Task: Rewrite the text above as a question suitable for a language learning exercise.Start simple! Clear instructions often work best. If the output isn't what you expect, try adding more detail or constraints.
Best Practices for Prompt Structures
- Start with a simple structure, then iterate as needed.
- Be explicit about the format you want (e.g., list, paragraph, table).
- Use examples to show the desired output style.
- Break complex tasks into smaller, structured prompts.