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To customize a Amazon Nova model for your use case, you must first create a training and, if applicable, a validation dataset for your customization task. When doing so, follow the guidelines for Guidelines for preparing your data for Amazon Nova provided later.
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If you plan to use a new custom IAM role, set up IAM permissions to access the S3 buckets for your data. You can also use an existing role or let the console automatically create a role with the proper permissions.
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(Optional) Configure Encryption of Amazon Nova model customization jobs and artifacts, VPC, or both, for extra security.
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Create a Fine-tuning job, controlling the training process by adjusting the hyperparameter values. When doing so, follow the guidelines for Guidelines for preparing your data for Amazon Nova provided later.
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Analyze the results by looking at the training or validation metrics or by using model evaluation.
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Purchase Provisioned Throughput for your newly created custom model.
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Use your custom model as you would a base model in Amazon Bedrock tasks, such as model inference.
