Master AI Development: PydanticAI + DSPy + DSLModel Deep Dive (Live Demo)

🚀 Join us live as we explore the cutting edge of AI development! Discover how to combine PydanticAI, DSPy, and DSLModel to build robust, type-safe, and production-ready Generative AI applications.

In this session, you'll learn:
✅ How PydanticAI simplifies agent frameworks with structured validation and dependency injection.
✅ How DSPy enables modular pipelines for Retrieval-Augmented Generation (RAG), dynamic few-shot prompting, and LM assertions.
✅ How to leverage the power of domain-specific language models (DSLModel) for highly specialized tasks.

📚 This is your opportunity to see state-of-the-art tools in action, learn best practices, and ask questions live. Whether you're an AI enthusiast or a professional developer, this session will leave you inspired and equipped to take your projects to the next level!

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[ArcaLuiNeo]

Thanks for the video! Learned quite a bit from it. I would love more dspy videos. Especially going into the weeds of it.

[ArcaLuiNeo]

quick feedback nobody asked for:
instead of relying on gpts to fix basic problems, reading the error message is faster and less pain. The error message at minute 1h:06 was caused by agent.run_sync doing what you already did in your main function.

I know that doing something in front of people can mess with one's head, but keeping it cool and reading the error message always helps me out.