Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat
Hugging Face launched ML Intern, a chat-based agent that autonomously selects models, trains, and ships demos within user-approved compute budgets.
Hugging Face's ML Intern lets users describe a project in chat, then finds models, datasets, and tools on the Hub, GitHub, and the web before estimating compute costs and enforcing an approved budget. It autonomously creates datasets, trains models, monitors jobs, uploads results, writes reports, and builds demos, each with its own tracking dashboard. A demo training run took about six hours and cost under $0.50. The launch comes as Hugging Face is being acquired by Nvidia, whose CEO Jensen Huang has pledged to keep the platform open and hardware-neutral.
- Searches HF Hub, GitHub, and the web for models, datasets, and tools
- Estimates compute costs and never exceeds the user-approved budget
- Handles dataset creation, training, monitoring, Hub uploads, reports, and demo building
- Demo training run took about six hours and cost under $0.50
- Launch occurs amid Nvidia's acquisition of Hugging Face
- Vendors
- Hugging FaceNvidia
- Products
- ML Intern
- Organizations
- Hugging FaceNvidia
- AI models
- ML Intern
From the original article
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Hugging Face launched "ML Intern," an AI assistant built into its chatbot that lets users run machine learning experiments without any ML expertise. The article Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat appeared first on The Decoder.
By Jonathan Kemper · the-decoder.com
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