AWS Machine Learning Blog

Category: Artificial Intelligence

Best practices to build robust generative AI applications with Amazon Bedrock Agents – Part 1

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

In this post, we show you how to create accurate and reliable agents. Agents helps you accelerate generative AI application development by orchestrating multistep tasks. Agents use the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps.

AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

AWS has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. The post highlights how AWS’s continued innovations in services like Amazon Bedrock and Amazon SageMaker have enabled organizations to unlock the transformative potential of generative AI.

Using task-specific models from AI21 Labs on AWS

Using task-specific models from AI21 Labs on AWS

In this blog post, we will show you how to leverage AI21 Labs’ Task-Specific Models (TSMs) on AWS to enhance your business operations. You will learn the steps to subscribe to AI21 Labs in the AWS Marketplace, set up a domain in Amazon SageMaker, and utilize AI21 TSMs via SageMaker JumpStart.

How Northpower used computer vision with AWS to automate safety inspection risk assessments

How Northpower used computer vision with AWS to automate safety inspection risk assessments

In this post, we share how Northpower has worked with their technology partner Sculpt to reduce the effort and carbon required to identify and remediate public safety risks. Specifically, we cover the computer vision and artificial intelligence (AI) techniques used to combine datasets into a list of prioritized tasks for field teams to investigate and mitigate.

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

GenAI for Aerospace: Empowering the workforce with expert knowledge on Amazon Q and Amazon Bedrock

In this post we show how you can quickly launch generative AI-enabled expert chatbots, trained on your proprietary document sets, to empower your workforce across specific aerospace roles with Amazon Q and Amazon Bedrock.

Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

In this post, we share an ML infrastructure architecture that uses SageMaker HyperPod to support research team innovation in video generation. We will discuss the advantages and pain points addressed by SageMaker HyperPod, provide a step-by-step setup guide, and demonstrate how to run a video generation algorithm on the cluster.