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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
Safety & Ethics
AI can sometimes produce unsafe or biased outputs. Use prompts to encourage ethical and safe responses. As a prompt engineer, you have a responsibility to consider the impact of your prompts and the outputs they generate.
Why Safety and Ethics Matter
- Protects users: Ensures that outputs are appropriate and do not cause harm.
- Reduces bias: Helps prevent the spread of stereotypes or misinformation.
- Builds trust: Ethical practices foster user confidence in AI systems.
Example
Only provide information that is safe and appropriate for all audiences.
Expanded Example:
You are an AI assistant for a children's educational website. Only provide information that is age-appropriate, safe, and free from bias. If a question is inappropriate, politely decline to answer and suggest a safer topic.
Always review outputs for safety and bias, especially in sensitive contexts. Test your prompts with edge cases to identify potential risks.
Best Practices for Safety & Ethics
- Avoid prompts that could lead to harmful, offensive, or biased outputs.
- Regularly review and update prompts to address new risks or concerns.
- Be transparent with users about how AI outputs are generated and reviewed.
