# Hugging Face 推出 ML Intern，通过聊天即可运行机器学习实验

- 来源：The Decoder：AI News（RSS）
- 作者：Jonathan Kemper
- 发布时间：2026-09-09 18:38
- AIHOT 分数：69
- AIHOT 链接：https://aihot.news/items/cmttzipvw0sqkrofpfb16h59v
- 原文链接：https://the-decoder.com/hugging-faces-new-ml-intern-lets-anyone-run-machine-learning-experiments-through-a-simple-chat

## AI 摘要

Hugging Face 推出内置于聊天机器人的 AI 助手 ML Intern，让没有 ML 专长的用户通过对话运行机器学习实验。它会搜索 Hugging Face Hub、GitHub 和网络寻找模型、数据集和工具，先估算算力成本并给出预算，获批后不超过限额；可自主创建数据集、训练模型、监控任务、上传结果、写报告和构建 demo，每个训练任务有独立仪表盘。

## 正文

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.

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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.

Gradio / LinkedIn