Agents
.@huggingface unveiled ml-intern – an open-source agent that automates the gritty post-training loop: - reading papers - tracing citations -…
.@huggingface unveiled ml-intern – an open-source agent that automates the gritty post-training loop: - reading papers - tracing citations - curating datasets - running experiments - and iterating lik
.@huggingface unveiled ml-intern – an open-source agent that automates the gritty post-training loop: - reading papers - tracing citations - curating datasets - running experiments - and iterating like a seasoned researcher Early demos show eyebrow-raising gains across science, healthcare, and math benchmarks. If it holds up, the humble ML workflow may soon need fewer humans – and far more GPUs.
Related
- ml-intern now notifies you when it needs input! Amazing for those 12h+ autonomous LLM training runs
- Introducing ml-intern, the agent that just automated the post-training team @huggingface It's an open-source implementation of the real rese…
- Hugging Face Releases ml-intern: An Open-Source AI Agent that Automates the LLM Post-Training Workflow [The 'AI Intern' that actually ships …
- ml-intern from @huggingface is such a cool repository, an 🤖 agentic harness that allows you to wield the larger🤗ecosystem to run all the t…
- ml-intern by @huggingface is wild 🔥 You drop a high-level prompt (“build the best scientific reasoning model” or “crush healthcare benchmar…
Source: Clem Delangue (X) | 2026-04-28