Remove 2012 Remove Metadata Remove ML Engineer
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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning Blog

Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. They provide a fact sheet of the model that is important for model governance. For more information, refer to Configure the AWS CLI.

ML 127
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Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning Blog

Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. They provide a fact sheet of the model that is important for model governance. For more information, refer to Configure the AWS CLI.

ML 52
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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Role of metadata while indexing data in vector databases Metadata plays a crucial role when loading documents into a vector data store in Amazon Bedrock. Content categorization – Metadata can provide information about the content or category of a document, such as the subject matter, domain, or topic.

Metadata 107