Blog_dumb

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. However, this requires acquiring a high-quality dataset of real-world question-answer pairs, which can be a daunting task, especially in the early stages of development. This is where synthetic data generation comes into …

Generate synthetic data for evaluating RAG systems using Amazon Bedrock Read More »

State and local agencies spend approximately $1.23 billion annually to operate and maintain signalized traffic intersections. On the other end, traffic congestion at intersections costs drivers about $22 billion annually. Implementing an artificial intelligence (AI)-powered detection-based solution can significantly mitigate congestion at intersections and reduce operation and maintenance costs. In this blog post, we show you …

Making traffic lights more efficient with Amazon Rekognition Read More »

Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data collection and preprocessing to model building, deployment, and maintenance. Data scientists face numerous challenges throughout this process, such as selecting appropriate tools, needing step-by-step instructions with code samples, and troubleshooting errors and issues. These iterative challenges can hinder progress and slow down projects. …

Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio Read More »

With the rise of powerful foundation models (FMs) powered by services such as Amazon Bedrock and Amazon SageMaker JumpStart, enterprises want to exercise granular control over which users and groups can access and use these models. This is crucial for compliance, security, and governance. Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service …

Govern generative AI in the enterprise with Amazon SageMaker Canvas Read More »

This post is co-written with Josh Zook and Alex Hamilton from Rocket Mortgage. Rocket Mortgage, America’s largest retail mortgage lender, revolutionizes homeownership with Rocket Logic – Synopsis, an AI tool built on AWS.  This innovation has transformed client interactions and operational efficiency through the use of Amazon Transcribe Call Analytics, Amazon Comprehend, and Amazon Bedrock. …

Transforming home ownership with Amazon Transcribe Call Analytics, Amazon Comprehend, and Amazon Bedrock: Rocket Mortgage’s journey with AWS Read More »

The UN is expanding the integration of Google’s Data Commons into a dozen additional agencies.

Editor’s note: This week in New York City, leaders from around the world are gathering for the 79th United Nations General Assembly (UNGA) — including the first ever “S…

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock agents use the power of large language models (LLMs) to perform …

Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents Read More »

In today’s fast-paced business environment, organizations are constantly seeking innovative ways to enhance employee experience and productivity. There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases. Additionally, with the rise of remote and hybrid work models, traditional support systems such …

Build a generative AI assistant to enhance employee experience using Amazon Q Business Read More »