Artificial Intelligence
Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock
In this post, we presented how to create a fully serverless voice-based contextual chatbot using Amazon Bedrock with Anthropic Claude.
Maintain access and consider alternatives for Amazon Monitron
This post discusses how customers can maintain access to Amazon Monitron after it is closed to new customers and what some alternatives are to Amazon Monitron.
Import a question answering fine-tuned model into Amazon Bedrock as a custom model
In this post, we provide a step-by-step approach of fine-tuning a Mistral model using SageMaker and import it into Amazon Bedrock using the Custom Import Model feature.
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.
Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock
In this post, we explore some ways you can use Anthropic’s Claude 3 Sonnet’s vision capabilities to accelerate the process of moving from architecture to the prototype stage of a solution.
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
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.
Control data access to Amazon S3 from Amazon SageMaker Studio with Amazon S3 Access Grants
In this post, we demonstrate how to simplify data access to Amazon S3 from SageMaker Studio using S3 Access Grants, specifically for different user personas using IAM principals.
Build a multimodal social media content generator using Amazon Bedrock
In this post, we walk you through a step-by-step process to create a social media content generator app using vision, language, and embedding models (Anthropic’s Claude 3, Amazon Titan Image Generator, and Amazon Titan Multimodal Embeddings) through Amazon Bedrock API and Amazon OpenSearch Serverless.