Builder

Name of the base model.

Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.

The customization type.

The custom model is encrypted at rest using this key.

Enter a name for the custom model.

Assign tags to the custom model.

Parameters related to tuning the model.

Enter a unique name for the fine-tuning job.

Assign tags to the job.

S3 location for the output data.

The Amazon Resource Name (ARN) of an IAM role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the iam:PassRole permission.

Information about the training dataset.

Information about the validation dataset.

VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.

construct an aws.sdk.kotlin.services.bedrock.model.OutputDataConfig inside the given block

construct an aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig inside the given block

construct an aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig inside the given block

construct an aws.sdk.kotlin.services.bedrock.model.VpcConfig inside the given block