Data Classification, Definition and ETL

Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

MARCH 27, 2025

Designing the prompt Before starting any scaled use of generative AI, you should have the following in place: A clear definition of the problem you are trying to solve along with the end goal. When you evaluate a case, evaluate the definitions in order and label the case with the first definition that fits.

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MARCH 21, 2025

Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. Users can write data to managed RMS tables using Iceberg APIs, Amazon Redshift, or Zero-ETL ingestion from supported data sources.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

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