How to use Claude Code to automate model training IN MINUTES

Can an AI agent act as a machine learning researcher? In this tutorial, I'll show you how to automate the training of AI models from scratch using AI agents, saving you time and computational costs. We'll be using a modified version of Andrej Karpathy's NanoGPT repository to train a GPT-2 level model on FineWeb with a single GPU. I'll walk you through how to use Claude Code, Hugging Face Jobs, and Trackio to build a self-optimizing AI pipeline that finds the best learning rates and hyper-parameters while you sleep! Hugging Face Jobs: https://huggingface.co/docs/hub/jobs Trackio: https://github.com/gradio-app/trackio Here's the modified NanoGPT training script: https://github.com/gradio-app/trackio/blob/main/autonomous-experiments/01_finding_the_best_learning_rate/train_nanogpt.py Don't forget to like, subscribe, and hit the notification bell to stay up-to-date with our latest AI tutorials and open-source projects like Trackio and Daggr!