Hugging Face Launches ML Intern Agent for Automated ML Experiments
Hugging Face has integrated ML Intern, an open-source assistant, into its chat interface. The agent handles the full machine learning workflow from a text description: it finds relevant models and datasets on Hugging Face Hub, GitHub, or the web, estimates compute requirements with a fixed budget cap, prepares data, runs training, monitors progress via a dashboard, uploads weights back to Hub, generates a report, and deploys an interactive demo.
The tool targets users without ML expertise, requiring only a task description to get started.