AWS Machine Learning Blog
How Pattern PXM’s Content Brief is driving conversion on ecommerce marketplaces using AI
Pattern is a leader in ecommerce acceleration, helping brands navigate the complexities of selling on marketplaces and achieve profitable growth through a combination of proprietary technology and on-demand expertise. In this post, we share how Pattern uses AWS services to process trillions of data points to deliver actionable insights, optimizing product listings across multiple services.
How to configure cross-account model deployment using Amazon Bedrock Custom Model Import
In this guide, we walk you through step-by-step instructions for configuring cross-account access for Amazon Bedrock Custom Model Import, covering both non-encrypted and AWS Key Management Service (AWS KMS) based encrypted scenarios.
ByteDance processes billions of daily videos using their multimodal video understanding models on AWS Inferentia2
At ByteDance, we collaborated with Amazon Web Services (AWS) to deploy multimodal large language models (LLMs) for video understanding using AWS Inferentia2 across multiple AWS Regions around the world. By using sophisticated ML algorithms, the platform efficiently scans billions of videos each day. In this post, we discuss the use of multimodal LLMs for video understanding, the solution architecture, and techniques for performance optimization.
How IDIADA optimized its intelligent chatbot with Amazon Bedrock
In 2021, Applus+ IDIADA, a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. In this post, we showcase the research process undertaken to develop a classifier for human interactions in this AI-based environment using Amazon Bedrock.
Accelerate IaC troubleshooting with Amazon Bedrock Agents
This post demonstrates how Amazon Bedrock Agents, combined with action groups and generative AI models, streamlines and accelerates the resolution of Terraform errors while maintaining compliance with environment security and operational guidelines.
Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector
In this post, we showcase a sample of how Alation’s business policies can be integrated with an Amazon Q Business application using a custom data source connector.
Mistral-Small-24B-Instruct-2501 is now available on SageMaker Jumpstart and Amazon Bedrock Marketplace
We’re excited to announce that Mistral-Small-24B-Instruct-2501—a twenty-four billion parameter large language model (LLM) from Mistral AI that’s optimized for low latency text generation tasks—is available for customers through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace. In this post, we walk through how to discover, deploy, and use Mistral-Small-24B-Instruct-2501.
How Rocket Companies modernized their data science solution on AWS
In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.
AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect
In this post, we discuss how AWS and DXC used Amazon Connect and other AWS AI services to deliver near real-time V2V translation capabilities.
Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock
This intelligent document processing solution uses Amazon Bedrock FMs to orchestrate a sophisticated workflow for handling multi-page healthcare documents with mixed content types. The solution uses the FM’s tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks.