Tuning a foundation model

To prompt tune a foundation model, create a tuning experiment that guides the foundation model to return the output you want in the form you want.

If you don't have a project, create one. From the main menu, expand Projects, and then click All projects.

  1. Click New project.

  2. Name the project, and then optionally add a description.

    For more information about project options, such as reporting or logging, see Creating a project.

  3. Click Create.

Required services
watsonx.ai
Required permissions
To tune a foundation model, you must have the Admin or Editor role in a project.

Before you begin

The foundation model that you want to tune must be installed. For more information, see Adding AI models.

Make decisions about the following tuning options:

Create training data to use for fine tuning the foundation model. See Data formats.

Tune a foundation model

  1. From the project overview, click the Assets tab, and then click New asset > Tune a foundation model with labeled data.

  2. Name the tuning experiment.

  3. Optional: Add a description and tags. Add a description as a reminder to yourself and to help collaborators understand the goal of the tuned model. Assigning a tag gives you a way to filter your tuning assets later to show only the assets associated with a tag.

  4. Click Create.

  5. Click Select a foundation model to choose the foundation model that you want to tune.

    Click a tile to see a model card with details about the foundation model. When you find the foundation model that you want to use, click Select.

  6. Follow the steps for the method you want to use:

  7. Evaluate the results. See Evaluating the tuning experiment.

Learn more

Parent topic: Tuning Studio