Generative AI adoption and compliance: Simplifying the path forward with AWS Audit Manager

TutoSartup excerpt from this article:
As organizations increasingly use generative AI to streamline processes, enhance efficiency, and gain a competitive edge in today’s fast-paced business environment, they seek mechanisms for measuring and monitoring their use of AI services... To help you navigate the process of adopting generative AI technologies and proactively measure your generative AI implementation, AWS developed the AWS A...

Boston Bound…

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Your editor is heading to Boston for a long weekend. The fun resumes on Tues., Dec. 17. Please don’t break anything while I’m gone......

Introducing the AWS Network Firewall CloudWatch Dashboard

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Amazon CloudWatch dashboards are customizable pages in the CloudWatch console that you can use to monitor your resources in a single view... This post focuses on deploying a CloudWatch dashboard that you can use to create a customizable monitoring solution for your AWS Network Firewall firewall... Network Firewall provides comprehensive logs and metrics through CloudWatch, and we’re expanding it...

Using generative AI to analyze game reviews from players and press

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We will demonstrate how to build a serverless solution that allows developers to upload, process, analyze, and summarize game reviews using Amazon Bedrock... Figure 1: High level serverless architecture for game review analysis and summarization using Amazon Bedrock... User experience: The solution contains a static web application hosted in Amazon Simple Storage Service (Amazon S3)... We...

Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 2: ModelBuilder

TutoSartup excerpt from this article:
1 8B model on a custom dataset... In this post, we look at the enhancements to the ModelBuilder class, which lets you seamlessly deploy a model from ModelTrainer to a SageMaker endpoint, and provides a single interface for multiple deployment configurations... In November 2023, we launched the ModelBuilder class (see Package and deploy models faster with new tools and guided workflows in Amazon S...

Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 1: ModelTrainer

TutoSartup excerpt from this article:
In this two-part series, we introduce the abstracted layer of the SageMaker Python SDK that allows you to train and deploy machine learning (ML) models by using the new ModelTrainer and the improved ModelBuilder classes... In this post, we focus on the ModelTrainer class for simplifying the training experience... We show you how to use the ModelTrainer class to train your ML models, which inclu...

Amazon Q Apps supports customization and governance of generative AI-powered apps

TutoSartup excerpt from this article:
We are excited to announce new features that allow creation of more powerful apps, while giving more governance control using Amazon Q Apps, a capability within Amazon Q Business that allows you to create generative AI-powered apps based on your organization’s data... In this post, we examine how these features enhance the capabilities of Amazon Q Apps... We explore the new customization option...