Generative Data Intelligence

Tag: web services

Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services

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...

Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services

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...

Improve accuracy of Amazon Rekognition Face Search with user vectors | Amazon Web Services

In various industries, such as financial services, telecommunications, and healthcare, customers use a digital identity process,...

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...

Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results | Amazon...

We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI)...

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock | Amazon Web Services

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...

Integrate HyperPod clusters with Active Directory for seamless multi-user login | Amazon Web Services

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...

The executive’s guide to generative AI for sustainability | Amazon Web Services

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...

Introducing automatic training for solutions in Amazon Personalize | Amazon Web Services

Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure...

Use Kubernetes Operators for new inference capabilities in Amazon SageMaker that reduce LLM deployment costs by 50% on average | Amazon Web Services

We are excited to announce a new version of the Amazon SageMaker Operators for Kubernetes using the AWS Controllers for Kubernetes (ACK). ACK is...

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