Jupyter Agents: training LLMs to reason with notebooks

Jupyter Agents are language models trained to reason and execute code directly within a notebook, giving them powerful tools for data science. This approach aims to solve complex, multi-step analysis tasks that are challenging for even the most advanced models. To improve agent performance, a specialized training dataset was built