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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