Train models with an interactive interface
On-Demand Jupyter Notebooks
On-demand JupyterLab notebooks provides a familiar interface for data scientists. Users can import external libraries from public or private repositories to train models. Users can also leverage auto-scaling compute clusters and dedicated compute environments backed by configurable CPU and GPU profiles to train and deploy models at scale.
With robust versioning, data scientists can share and collaborate on notebooks easily. Users can manage user access levels with C3 AI’s centralized role-based access controls. Users can optionally commit notebooks to the code repository for CI testing and reuse across applications to enhance collaboration.
Take the Next Steps
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