Prerequisites for model customization
Before you can start a model customization job, you need to fulfill the following prerequisites:
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Determine whether you plan to carry out a Fine-tuning or Continued Pre-training job and which model you plan to use. The choice you make determines the format of the datasets that you feed into the customization job.
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Prepare the training dataset file. If the customization method and model that you choose supports a validation dataset, you can also prepare a validation dataset file. Follow the steps below in Prepare the datasets and then upload the files to an Amazon S3 bucket.
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(Optional) Create a custom AWS Identity and Access Management (IAM) service role with the proper permissions by following the instructions at Create a service role for model customization to set up the role. You can skip this prerequisite if you plan to use the AWS Management Console to automatically create a service role for you.
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(Optional) Set up extra security configurations.
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You can encrypt input and output data, customization jobs, or inference requests made to custom models. For more information, see Encryption of model customization jobs and artifacts.
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You can create a virtual private cloud (VPC) to protect your customization jobs. For more information, see [Optional] Protect your model customization jobs using a VPC.
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