Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat
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Hugging Face has introduced a new AI assistant called ML Intern that helps users run machine learning experiments through simple conversation. Users describe their project idea, and the assistant searches the Hugging Face Hub, GitHub, and the web for suitable models, datasets, and tools. Before launching, it estimates compute costs and asks the user to approve a budget, which it will not exceed. Once approved, ML Intern works independently: it can create datasets, train models, monitor jobs, upload results, write reports, and build demos. Each training run has its own dashboard for tracking progress, and one demo experiment reportedly ran for about six hours at a cost under $0.50. The tool aims to lower the barrier for starting new ML projects on the platform. The article also mentions that Hugging Face is being acquired by Nvidia, with CEO Jensen Huang pledging to keep the platform open and hardware-neutral.
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