Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat

Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat Jonathan Kemper View the LinkedIn Profile of Jonathan Kemper Sep 9, 2026 Hugging Face launched "ML Intern," an AI assistant built into its chatbot that lets users run machine learning experiments without…

Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat Jonathan Kemper View the LinkedIn Profile of Jonathan Kemper Sep 9, 2026 Hugging Face launched "ML Intern," an AI assistant built into its chatbot that lets users run machine learning experiments without any ML expertise. Users start by describing their idea in a conversation. The assistant then searches the Hugging Face Hub, GitHub, and the web to find the right models, datasets, and tools. Before kicking anything off, ML Intern estimates the required compute costs and suggests a budget. Once approved, it won't exceed that limit. From there, the system works on its own. It can create datasets, train models, monitor running jobs, upload results to the Hub, write reports, and build demos. Each training run gets its own dashboard for tracking progress. One example from the demo video ran for about six hours and cost less than $0.50, according to Hugging Face. The tool lowers the barrier for new ML projects on the platform. Meanwhile, Hugging Face itself is in the middle of an acquisition by Nvidia. CEO Jensen Huang has promised to keep the platform open and hardware-neutral.AdAd AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section. Subscribe now Source: Gradio / LinkedIn

Source: The Decoder — Published September 9, 2026 at 10:38 UTC — Category: Models