AWS Machine Learning Blog

OCTOBER 19, 2023

Using Amazon Comprehend to redact PII as part of a SageMaker Data Wrangler data preparation workflow keeps all downstream uses of the data, such as model training or inference, in alignment with your organization’s PII requirements. For more details, refer to Integrating SageMaker Data Wrangler with SageMaker Pipelines.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Open-source models are (in general) always fine-tunable because the model artifacts are available for downloading and the users are able to extend and use them at will. Additions are required in historical data preparation, model evaluation, and monitoring. This process requires an internet connection.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

After you download the code base, you can deploy the project following the instructions outlined in the GitHub repo. Dataset preparation consists of the following key steps: Data acquisition – We begin by downloading a collection of games in PGN format from publicly available PGN files on the PGN mentor program website.

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