Testing Microsoft Phi-4 with Pydantic AI | Build a Movie Recommendation Agent

In this video, we create a movie recommendation agent using Pydantic AI and Ollama, showcasing how to run local AI models like Microsoft Phi-4 and LLaMA 3.2. We start by setting up the environment, downloading the model, and addressing limitations such as tool support in Phi-4. We then switch to LLaMA 3.2 to enable external tool integration for fetching dynamic movie recommendations and activity ideas based on events like Christmas and Winter Solstice. This tutorial highlights the flexibility of Pydantic AI for building scalable, context-aware agents while running locally without relying on external APIs. Make sure to check out the starter video linked in the description if you're new to Pydantic AI. Don't forget to like, subscribe, and stay tuned for more AI tutorials!

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