Python + AI: Structured outputs

In our fifth stream of the Python + AI series, we'll discover how to get LLMs to output structured responses that adhere to a schema. In Python, all we need to do is define a @dataclass or a Pydantic BaseModel, and we get validated output that meets our needs perfectly.

We'll focus on the structured outputs mode available in OpenAI models, but you can use similar techniques with other model providers. Our examples will demonstrate the many ways you can use structured responses, like entity extraction, classification, and agentic workflows.

This session is a part of a series! To learn more, click here

Pre-requisites:
If you'd like to follow along with the live examples, make sure you've got a GitHub account.

Habla español? Tendremos una serie para hispanohablantes!