@Mayank_022: I tested @huggingface ml-intern, given the prompt "Fine-tune a Segment Anything Model (SAM) on a useful medical dataset…

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A user evaluated Hugging Face's ml-intern tool by requesting it to fine-tune SAM on a medical dataset and produce both a Jupyter notebook tutorial and a blog post.

I tested @huggingface ml-intern, given the prompt "Fine-tune a Segment Anything Model (SAM) on a useful medical dataset. Train the model, and provide a comprehensive tutorial in a Jupyter Notebook file. Additionally, create a Hugging Face article/blog post documenting
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I tested @huggingface ml-intern, given the prompt “Fine-tune a Segment Anything Model (SAM) on a useful medical dataset. Train the model, and provide a comprehensive tutorial in a Jupyter Notebook file. Additionally, create a Hugging Face article/blog post documenting

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Hugging Face launches ML-Intern, an AI agent that automates post-training tasks for machine-learning workflows.

@nini_incrypto_: Hugging Face automates entire AI training pipeline! Recently, a project called ml-intern has gone viral on GitHub. It's like a 24/7 algorithmic intern that can independently perform post-training of large models. 1. Autonomous research: It will…

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The ml-intern project from Hugging Face has gone viral on GitHub, enabling full automation of the entire workflow including paper research, data processing, training script writing, and model training, without human intervention. It significantly improves the performance of small models (such as Qwen3-1.7B), even surpassing Claude Code.