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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
Evaluating Prompt Quality
A good prompt produces reliable, relevant, and useful results. Here's how to evaluate your prompts and improve them over time.
Criteria for a High-Quality Prompt
- Matches your intent: The output should answer your question or complete your task as expected.
- Consistent results: The prompt should produce similar outputs across different runs.
- Clarity and specificity: The instructions are clear, and the desired format is specified.
- Appropriate for the audience: The response is suitable for the intended user or use case.
How to Evaluate
- Test your prompt with different inputs and review the results for quality.
- Ask others to try your prompt and provide feedback.
- Compare outputs from different prompt variations to see which works best.
Test your prompts with different inputs and review the results for quality. Don't hesitate to iterate and refine your prompts for better outcomes.