Fine-tuning the Base Models in Generative AI

Create custom models by fine-tuning the base models with your own dataset. You can create new custom models or create new versions of existing custom models.

The following workflow displays the tasks for fine-tuning a pretrained model and hosting the fine-tuned model.

The following tasks include the steps for fine-tuning a pretrained model and hosting the fine-tuned model.

1. Create the training dataset.
2. Add the dataset to an Object Storage bucket.
3. Create a fine-tuning dedicated AI cluster.
4. Create a new custom model or create a new version from an existing model on the fine-tuning dedicated AI cluster.
5. Create a hosting dedicated AI cluster.
6. Create an endpoint for the custom model on the hosting dedicated AI cluster.
7. Run the custom model in the playground.