AWS Machine Learning Blog

In this post, we show you how DoorDash built a generative AI agent using HAQM Connect, HAQM Lex, and HAQM Bedrock Knowledge Bases to provide a low-latency, self-service experience for their delivery workers.

In this post, we share how Karini AI’s migration of vector embedding models from Kubernetes to HAQM SageMaker endpoints improved concurrency by 30% and saved over 23% in infrastructure costs.

The International Research Centre on Artificial Intelligence (IRCAI), Zindi, and HAQM Web Services (AWS) are proud to announce the launch of the “AI for Equity Challenge: Climate Action, Gender, and Health”—a global virtual competition aimed at empowering organizations to use advanced AI and cloud technologies to drive real-world impact with a focus on benefitting vulnerable populations around the world.

In this post, we showcase the latest generation of Just Walk Out technology by HAQM, powered by a multi-modal foundation model (FM). We designed this multi-modal FM for physical stores using a transformer-based architecture similar to that underlying many generative artificial intelligence (AI) applications.

In this post, we explain how to use Anthropic Claude on HAQM Bedrock to generate synthetic data for evaluating your RAG system.

In this blog post, we show you how HAQM Rekognition can mitigate congestion at traffic intersections and reduce operations and maintenance costs.

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.

In this post, we analyze strategies for governing access to HAQM Bedrock and SageMaker JumpStart models from within SageMaker Canvas using AWS Identity and Access Management (IAM) policies. You’ll learn how to create granular permissions to control the invocation of ready-to-use HAQM Bedrock models and prevent the provisioning of SageMaker endpoints with specified SageMaker JumpStart models.

This post offers insights for businesses aiming to use artificial intelligence (AI) and cloud technologies to enhance customer service and streamline operations. We share how Rocket Mortgage’s use of AWS services set a new industry standard and demonstrate how to apply these principles to transform your client interactions and processes.

In this post, we demonstrate how to use HAQM Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.