How to Get Structured Output from OpenAI: A Comprehensive Guide

💡Prompt Engineering: Use structured prompts to interact with OpenAI models and limit model creativity.

🔒Json Mode: Use the response format parameter to ensure the API returns output in a valid JSON format.

⚙️Benefits of Structured Output: Structured output improves system reliability and simplifies code development.

🔍Prompt Injection: It's important to be aware of potential security vulnerabilities when using prompts.

📄Model Limitations: OpenAI does not guarantee a specific JSON format in the output text.

What is prompt engineering?

—Prompt engineering involves using structured prompts to interact with OpenAI models, setting boundaries and constraints for the model's responses.

What is Json mode?

—Json mode is a response format parameter in the OpenAI API that guarantees the output will be in a valid JSON format, improving reliability and simplifying code development.

What are the benefits of structured output?

—Structured output improves system reliability and makes it easier to maintain and debug code. It also allows for better control over the model's responses.

What is prompt injection?

—Prompt injection refers to adding custom instructions or modifications to the prompt that can affect the model's behavior and output.

What are the limitations of OpenAI models?

—OpenAI models do not guarantee a specific JSON format in the output text, so it is important to handle parsing and formatting appropriately.

00:00Introduction and overview of getting structured output from OpenAI.

03:20Explanation of prompt engineering and its benefits for interacting with OpenAI models.

07:30Overview of Json mode and how it guarantees output in a valid JSON format.

09:48Importance of structured output for system reliability and simplified code development.

11:00Cautionary note about potential security vulnerabilities with prompt injection.