In this episode, Brian, Beth, Karl, and Andy explored the new guidelines from OpenAI for creating effective custom GPTs, focusing on the best practices for prompting.
They provided a crash course on custom GPTs, highlighted the importance of refining prompts, and discussed leveraging new features for enhanced functionality.
Key Points Discussed:
Introduction to Custom GPTs:
- Quick overview of what custom GPTs are and their benefits, such as simplifying workflows and storing prompts for easy access.
Prompting Techniques:
- Emphasis on simplifying complex instructions and using "trigger and instruction" methods.
- Importance of breaking down tasks into granular steps and providing detailed, positive instructions.
System 1 vs. System 2 Thinking:
- Discussion on the importance of analytical and deliberate thinking in AI interactions for successful prompting.
Practical Applications and Examples:
- Using custom GPTs in business information systems (BI) to enhance data analysis and decision-making.
- Sharing custom GPTs within organizations to avoid silos and improve efficiency.
Guidelines for Writing Instructions:
- Review of OpenAI's key guidelines, including simplifying instructions, structuring for clarity, promoting attention to detail, using examples, and leveraging knowledge files.
