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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
Prompting for Creativity vs. Precision
You can guide the AI to be more creative or more precise depending on your needs. The way you phrase your prompt can encourage the model to generate imaginative, open-ended responses or stick to factual, technical details. Understanding this balance is key for different use cases, from brainstorming to technical writing.
When to Use Creative Prompts
- Brainstorming ideas: Generate stories, poems, or new concepts.
- Exploring possibilities: Ask "what if" questions or invite speculation.
- Encouraging unique perspectives: Use open-ended language and fewer constraints.
When to Use Precise Prompts
- Technical tasks: Require specific, factual answers.
- Data extraction: Need structured or formatted outputs.
- Instructional content: Want clear, step-by-step guidance.
Best Practices for Balancing Creativity and Precision
- Decide what kind of output you want before writing your prompt.
- Use open-ended language for creativity (e.g., "imagine," "describe," "invent").
- Use specific instructions and constraints for precision (e.g., "list," "summarize in 2 sentences," "provide a table").
- Test and iterate: If the output is too vague or too rigid, adjust your prompt accordingly.
