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學習、聯繫、建置

Microsoft Reactor

加入 Microsoft Reactor 並與開發人員即時互動

準備好開始使用 AI 和最新技術嗎？ Microsoft Reactor 提供活動、訓練和社群資源，協助開發人員、企業家和初創公司建置 AI 技術等等。加入我們！

Python + AI: Function calling & structured outputs

25 3月, 2025 | 4:30 下午 - 5:30 下午 (UTC) 國際標準時間

格式:
線上直播

主題: AI 應用程式

語言: 英文

In our fifth stream of the Python + AI series, we're going to explore the two main ways to get LLMs to output structured responses that adhere to a schema: function calling and structured outputs.

We'll start with function calling, which is the most well supported way to get structured responses, and discuss its drawbacks. Then we'll focus on the new structured outputs mode available in OpenAI models, which can be used with Pydantic models and even used in combination with function calling.

Our examples will demonstrate the many ways you can use structured responses, like entity extraction, classification, and agentic workflows.

Follow-along live, thanks to GitHub Models and GitHub Codespaces.
If you'd like to follow along with the live examples, make sure you've got a GitHub account.

You can also join a weekly office hours to ask any questions that don't get answered in the chat, in our AI Discord.

Check out more resources here