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Oumi provides an intuitive environment for managing the full model development lifecycle, simplifying complex workflows while maintaining the control and flexibility teams need, from dataset creation to training, evaluation, and deployment.

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The Oumi UI

After logging in and selecting a project, you will be taken to Oumi’s main interface, where you can see a high level overview of your project’s artifacts and access quick actions for common tasks. The left-hand navigation contains links to each one of the main sections in the Oumi platform:
  • Overview: The main landing page for your project’s artifacts.
  • Datasets: Import existing data or generate new datasets for training and evaluation.
  • Evaluators: Define metrics and judges used to score model outputs, including accuracy, safety, and task success.
  • Evaluations: Run evaluations to score models on your datasets using your evaluators. Compare candidates, inspect failure modes, and track progress over time.
  • Models: Train models using datasets and insights from completed evaluations.
  • Recipes: Reusable configurations and settings.
  • Files: Additional data for grounding your responses.
  • Activity log: A list of historical and currently running jobs.
The Oumi UI is designed to reflect the natural lifecycle of building and refining models and its key workflow stages, making it intuitive to move forward or revisit earlier steps based on results and clearly defined success criteria.

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Jump right in

Here are a few next steps to begin building custom AI for your organization with Oumi:

Oumi Agent

Get up to speed with the Oumi Agent.

Oumi Builder

Learn how to use the Oumi Builder.

Oumi Recipes

Learn more about Oumi Recipes.