This lesson is going to explain how to use Amazon Bedrock Custom Models to customise your foundation models with fine-tuning and continued pre-training.
By the end of this lesson, you will have a greater understanding of how to work with Amazon Bedrock Custom Models, including:
• Why you should customize a Foundation Model
• The different strategies to customize your models
• How to customize a Foundation Model
• And how to use Provisioned Throughput in customization
This lesson has been created for those who are interested in customizing Foundation Models in Amazon Bedrock using strategies such as fine-tuning and continued pre-training. This may include those in roles such as software engineer, machine learning engineer, and more.
To get the most out of this lesson, you should have a basic understanding of Amazon Bedrock, including what the service is and does. For more information about this service, see our existing content titled: Building and Scaling Generative AI Applications with Amazon Bedrock