2 articles

#ml-intern

HuggingFace ml-intern: Autonomous Post-Training Agent Pushes GPQA 10% → 32% in Under 10 Hours

HuggingFace's ml-intern autonomously runs the full ML research-to-training loop, lifting GPQA from 10% to 32% on a 1.7B model in <10 hours and beating Codex on HealthBench by 60%.

April 23, 20261 min read

Tools

ml-intern: HuggingFace Releases a Full-Loop Autonomous Post-Training Agent

ml-intern reads arXiv, cleans datasets, runs SFT/GRPO, diagnoses failures, and iterates — pushing GPQA from 10% to 32% in under 10 hours for roughly $1 of compute.

April 23, 20262 min read

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