AWS Machine Learning Blog

Streamline work insights with the Amazon Q Business connector for Smartsheet

This post explains how to integrate Smartsheet with Amazon Q Business to use natural language and generative AI capabilities for enhanced insights. Smartsheet, the AI-enhanced enterprise-grade work management platform, helps users manage projects, programs, and processes at scale.

Level up your problem-solving and strategic thinking skills with Amazon Bedrock

In this post, we show how Anthropic’s Claude 3.5 Sonnet in Amazon Bedrock can be used for a variety of business-related cognitive tasks, such as problem-solving, critical thinking and ideation—to help augment human thinking and improve decision-making among knowledge workers to accelerate innovation.

Optimizing AI implementation costs with Automat-it

In this guest post, we explain how AWS Partner Automat-it helped their customer achieve a more than twelvefold cost savings while keeping AI model performance within the required performance thresholds. This was accomplished through careful tuning of architecture, algorithm selection, and infrastructure management.

The end of an era: the final AWS DeepRacer League Championship at re:Invent 2024

The AWS DeepRacer League is the world’s first global autonomous racing league powered by machine learning (ML). Over the past 6 years, a diverse community of over 560,000 builders from more than 150 countries worldwide have participated in the League to learn ML fundamentals hands-on through the fun of friendly autonomous racing. After an 8-month season of nail-biting virtual qualifiers, finalists convened in person at re:Invent in Las Vegas for one final showdown to compete for prizes and glory in the high-stakes, winner-take-all AWS DeepRacer League Championship.

Pipeline for Amazon Bedrock LLM-as-a-Judge

Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS

In this post, we demonstrate how to implement this evaluation framework using Amazon Bedrock, compare the performance of different generator models, including Anthropic’s Claude and Amazon Nova on Amazon Bedrock, and showcase how to use the new RAG evaluation feature to optimize knowledge base parameters and assess retrieval quality.

AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?

In AWS DeepRacer: How to master physical racing?, I wrote in detail about some aspects relevant to racing AWS DeepRacer in the physical world. The previous post was left open-ended—with one last Championship Final left, it was too early to share all my secrets. Now that AWS re:Invent is over, it’s time to share my strategy, how I prepared, and how it went in the end.

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.

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.