Creative Prompt Writing Tips | Deep Thinking for Language Models

Enhanced Prompt: Advanced Creative Prompt Engineering for Language Models

Objective:
To design prompts that challenge language models to exhibit deep, creative thinking and generate high-quality outputs across various domains.

Deliverables:

1. A structured framework for crafting creative prompts.
2. Specific guidelines for enhancing content generation.
3. Practical examples of effective prompts.
4. Tools and technologies for evaluation.
5. Strategies to ensure ethical considerations.

Industry Best Practices:

• Utilize structured brainstorming techniques like SCAMPer.
• Incorporate ethical AI guidelines.
• Apply prompt engineering best practices (e.g., chaining, disfluencies).

Quality Expectations:

• High creativity and relevance in outputs.
• Consistent and coherent language.
• Adherence to ethical AI standards.

Technical Considerations:

• Use tools like Anthropic's Claude or Visual Geometry.
• Implement content filtering for safety and relevance.

Challenges and Solutions:

1. Information Overload: Use AI tools for focused analysis.
2. Balancing Creativity and Accuracy: Implement evaluatio