How Elite AI Agencies Build Prompts - The PDER Process
AI Summary
Summary of AI Prompt Engineering - i70LfKB6TqU
- Introduction to Morningside AI
- Built AI systems for various clients, including gyms and an NBA team.
- Effective AI prompts can save time and automate tasks.
- Importance of Prompt Engineering
- Distinction between casual prompting and professional prompt engineering.
- Need for single-shot prompts that perform well without back-and-forth adjustments.
- The Peter Process Framework
- Planning: Define the prompt requirements.
- Drafting: Generate initial prompts using AI tools.
- Evaluating: Use software to test prompts against expected inputs.
- Refining: Make targeted improvements based on evaluation results.
- Key Components
- Use of research-backed techniques and professional prompt engineering IDE.
- Practical examples of building a business-grade prompt.
- Real-World Application
- Prompting for customer support autoresponders to handle order inquiries and automate responses.
- Tools and Resources
- Access to various AI tools and planning sheets for effective prompt engineering without extensive time investment.
- Conclusion
- Leveraging the Peter Process can lead to significant improvements in AI model performance while saving time in prompt creation.
- Encouragement to utilize available resources and practice prompt engineering for better outcomes.