
Fine-Tuning the Base Models in Generative AI

Fine-Tuning the Base Models in Generative AI
Create custom models in OCI
Generative AI 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 provide the steps for fine-tuning a pretrained model and hosting the
 fine-tuned model:
Create the training dataset.
Add the dataset to an Object Storage bucket.
Create a fine-tuning dedicated AI cluster.
Create a new custom model or create a new version from an existing model on the fine-tuning dedicated AI cluster.
Create a hosting dedicated AI cluster.
Create an endpoint for the custom model on the hosting dedicated AI cluster.
Run the custom model in the playground.
