Fine-Tune, Deploy and Use LLM As AI Agent

Automated excerpt

This time I go through the whole pipeline, not just the training part: renting GPUs on Runpod, fine-tuning a model with Unsloth Studio, deploying it as an inference endpoint using Runpod's Serverless, and then actually using that endpoint inside a Pydantic AI Agent. I go in-depth on creating a Pod (a dedicated GPU instance container), picking a GPU, setting up storage, and getting SSH access working. I set up a Pydantic AI agent that calls the fine-tuned model through the endpoint.

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