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.
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