Why Your Prompt Engineering Skills Are Already Obsolete
AI Summary
Summary of Office Hours Episode 2
Overview:
- Discusses questions related to AI, specifically deep research capabilities and integration of AI-generated content.
Questions Answered:
- Can deep research specify certain formats (e.g., PDFs)?
- No specific parameters can be set in deep research tools for formats like PDFs.
- Example: Asking for market analysis on luxury picnics, including only PDFs in sources, yielded about 80% PDF results.
- Integration of AI-generated chunks:
- There was confusion regarding how AI develops and integrates content chunks.
- AI typically takes a structured approach:
- Chunk 1: Overview (macro level)
- Chunk 2: More specific details
- Chunk 3: Detailed implementation steps
- Each chunk is connected; as AI builds, it refers back to prior chunks to maintain context.
Random Thought of the Week:
- Obsolescence of Prompt Engineering:
- Education on prompt engineering needs to adapt as AI models evolve.
- Traditional prompting methods may become obsolete due to developing AI capabilities.
Evergreen Principles for Prompt Engineering:
- Be specific:
- Use precise language to avoid vagueness.
- Provide context:
- More context improves AI output but may decrease in necessity as models improve.
- Be descriptive, not prescriptive:
- Describe the desired outcome rather than instructing how to achieve it.
Conclusion:
- Encourage viewers to ask more questions and adapt their prompting strategies as AI technologies develop.