Artificial Intelligence
Category: Technical How-to
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.
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.
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.
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.
Llama 3.2 models from Meta are now available in Amazon SageMaker JumpStart
In this post, we show how you can discover and deploy the Llama 3.2 11B Vision model using SageMaker JumpStart. We also share the supported instance types and context for all the Llama 3.2 models available in SageMaker JumpStart.
Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio
In this post, we present a real-world use case analyzing the Diabetes 130-US hospitals dataset to develop an ML model that predicts the likelihood of readmission after discharge.
Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents
In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.
Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra
In this post, we show you how the new document-level report in Amazon Kendra provides enhanced visibility and observability into the document processing lifecycle during data source sync jobs.
Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration
In this post, we walk through how AWS can help accelerate a brand’s creative efforts with access to a powerful image-to-image model from Stable Diffusion available on Amazon Bedrock to interactively create and edit art and logo images.