OpenAI Structured Output - All You Need to Know
AI Summary
Summary
- OpenAI has released a new API update for structured output.
- Dave Abar, founder of Data Lumina, explains the update and provides code examples.
- Structured output ensures reliable JSON schema content, improving AI system quality.
- OpenAI’s update includes:
- Reliable type safety
- Explicit refusals for model safety
- Simpler prompting for consistent formatting
- Structured output is recommended over JSON mode, which may be deprecated.
- Use function calling for connecting models to system tools; use structured response format for user interactions.
- Two methods to get structured output:
- Supplying a JSON schema
- Using a Pydantic model (recommended by OpenAI)
- Pydantic models offer easier code management and instant validation.
- Include proper descriptions for fields in models for accurate prompting.
- Mix and match data types like booleans and enums for system design.
- Dave compares the new feature with the instructor library, noting some limitations with Pydantic models.
- He suggests continuing to use the instructor library with the new GPT-4.0 model for now.
- The video concludes with an offer for freelancers to get leads through Dave’s company.
For more details on the structured output and code examples, refer to the provided video and additional resources.