A new report explores the economic impact of generative AI
A new report from inaugural Technology & Society Visiting Fellow Andrew McAfee looks at the potential economic impacts of generative AI.
Enhance conversational AI with advanced routing techniques with Amazon Bedrock
Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock, developers can create systems that expertly manage and respond to user requests. Amazon Bedrock is a fully managed service that offers a choice of …
Enhance conversational AI with advanced routing techniques with Amazon Bedrock Read More »
Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering
The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. In the post A generative AI-powered solution on Amazon SageMaker to help Amazon EU …
Improve accuracy of Amazon Rekognition Face Search with user vectors
In various industries, such as financial services, telecommunications, and healthcare, customers use a digital identity process, which usually involves several steps to verify end-users during online onboarding or step-up authentication. An example of one step that can be used is face search, which can help determine whether a new end-user’s face matches those associated with …
Improve accuracy of Amazon Rekognition Face Search with user vectors Read More »
Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support
We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment. Each step requires waiting for remote compute resources to start up, which …
Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support Read More »
Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results
We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI) applications. With the broadest selection of first- and third-party foundation models (FMs) as well as user-friendly capabilities, Amazon Bedrock is the fastest and easiest way to build and scale secure generative …
Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock
Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles. The AWS Well-Architected …
Integrate HyperPod clusters with Active Directory for seamless multi-user login
Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training compute cluster. With SageMaker HyperPod, you can train FMs for weeks and months without disruption. Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, …
Integrate HyperPod clusters with Active Directory for seamless multi-user login Read More »
The executive’s guide to generative AI for sustainability
Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. A Gartner, Inc. survey revealed that 87 percent of business leaders expect to increase their organization’s investment in sustainability over the next years. This post serves as a starting point for any executive seeking to navigate the intersection of generative …
The executive’s guide to generative AI for sustainability Read More »
Introducing automatic training for solutions in Amazon Personalize
Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. As data patterns and trends change over time, retraining the solution with the latest relevant data enables the model to learn and adapt, …
Introducing automatic training for solutions in Amazon Personalize Read More »