ML Intern
Your AI research intern
An ML research agent from Hugging Face that can autonomously carry out long-running machine-learning experimentation and post-training workflows using infrastructure such as repositories, jobs, and storage, with session traces synchronized to the Hugging Face Hub.
Recent stories
ml-intern now lets an agent run long post-training tasks like parallel ablations in YOLO mode and automatically pushes session traces to a Hub account for later inspection. That gives RL and fine-tuning workflows both unattended execution and a built-in audit trail.
Independent tools and platforms shipped GPT-5.5 support within a day of the API rollout, spanning IDEs, hosted research agents, enterprise stacks, and coding agents. That shortens evaluation time because teams can test the model inside existing workflows instead of rebuilding around a single OpenAI surface.