Large language models require customization for enterprise-specific data and use cases, which can be automated using AWS Step Functions to orchestrate model training, evaluation, and monitoring for Amazon Bedrock.

<div>
<p>This article discusses how to automate the process of customizing large language models in Amazon Bedrock using AWS Step Functions workflows.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Architecture for automating model customization workflow</li>
<li>Prerequisites for setting up the demo</li>
<li>Steps to deploy the solution using AWS SAM template</li>
<li>Uploading training data to S3 bucket</li>
<li>Running the Step Functions workflow and monitoring progress</li>
<li>Viewing the outcome of model customization</li>
<li>Cleaning up deployed resources</li>
</ul>
</div>


Automating model customization in Amazon Bedrock with AWS Step Functions workflow

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