The Prompt is Becoming the Product
AI Summary
- Introduction to Prompt Engineering
- Transition from traditional prompt engineering to models like GPT-3 and GPT-4.
- Emphasis on prompts becoming work products.
- Agentic Models
- GPT-3 and GPT-4 possess agentic capabilities.
- Users can instruct models to perform tasks (e.g., fetching competitor websites).
- Increased transparency in technology and tool use.
- Mass Adoption and Technology Value
- Historical comparison with iPhone and chatGPT’s rapid user growth.
- Importance of traceability from technology to customer value.
- Impact on Prompting
- Better models demand clearer, purpose-driven prompts.
- Prompts need to reflect expected outputs.
- Changes in work experience and performance expectations due to evolving roles.
- Conclusion
- The competition to simplify the path from models to customer value continues.
- The role of prompts in professional work is fundamentally changing, becoming core deliverables.