ML Intern - a Hugging Face Space by smolagents Open the agent in a full browser tab to get started Conversations are stored locally in your browser This web app loads a conversational assistant that helps users with machine‑learning questions and tasks Simply type your query or request into the interface, and the assistant replies with clear
huggingface ml-intern | DeepWiki The `ml-intern` project is an autonomous machine learning engineering agent designed to research, implement, and ship ML code within the Hugging Face ecosystem
A Walkthrough of Hugging Face ml-intern Automating LLM Post-Training Hugging Face recently introduced ml-intern, an open-source AI agent built on the smolagents framework that autonomously handles LLM post-training workflows This walkthrough explores how to leverage the repository to automate fine-tuning, debugging, and model evaluation
huggingface ml-intern - LinkedIn What it is: A fully autonomous ML intern agent powered by smolagents CodeAgent that can autonomously fine-tune models, run Arxiv literature searches, and push results to the HuggingFace Hub
Hugging Faces AI agent that automates post-training - ml-intern . . . An open-source AI agent that fully automates post-training: reads arXiv papers, fixes creates datasets, runs training jobs, debugs failures, and iterates all by itself Results: +22 pts on GPQA in 10h and +60% on HealthBench The future of ML research is here