AWS Machine Learning

FEBRUARY 13, 2024

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance.

Accountability 110

Accountability Government Engineering Scripts 110

AWS Machine Learning

MARCH 23, 2023

The predictions (inference) use encrypted data and the results are only decrypted by the end consumer (client side). To demonstrate this, we show an example of customizing an Amazon SageMaker Scikit-learn, open sourced, deep learning container to enable a deployed endpoint to accept client-side encrypted inference requests.

Scripts 100

Scripts APIs Government Analytics 100

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. The table will be created and registered automatically in the AWS Glue Data Catalog.

Scripts 77

Scripts Engineering APIs Big data 77

AWS Machine Learning

JANUARY 26, 2024

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Best practices 127

Best practices Government Engineering Accountability 127

AWS Machine Learning

FEBRUARY 29, 2024

Before you can write scripts that use the Amazon Bedrock API, you’ll need to install the appropriate version of the AWS SDK in your environment. Information that identifies you may be shared with doctors responsible for your care or for audits and evaluations by government agencies, but talks and papers about the study will not identify you.

APIs 118

APIs Healthcare Scripts Enterprise 118

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering 80

Engineering Healthcare APIs Scripts 80

AWS Machine Learning

MARCH 7, 2023

A public GitHub repo provides hands-on examples for each of the presented approaches. When you open a notebook in Studio, you are prompted to set up your environment by choosing a SageMaker image, a kernel, an instance type, and, optionally, a lifecycle configuration script that runs on image startup.

Management 79

Management Scripts Government Engineering 79