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Tag: AWS

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)...

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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...

Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock – Part 2 | Amazon Web Services

In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a...

Scale AI training and inference for drug discovery through Amazon EKS and Karpenter | Amazon Web Services

This is a guest post co-written with the leadership team of Iambic Therapeutics. Iambic Therapeutics is a...

Stability AI decimates staff just weeks after CEO leaves

Stability AI is laying off staff in its search of steadier footing following the sudden departure of its CEO late last month. The British generative...

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock | Amazon Web Services

Migrating to the cloud is an essential step for modern organizations aiming to capitalize on the flexibility and scale of cloud resources. Tools like...

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock | Amazon Web Services

See CHANGELOG for latest features and fixes. You’ve likely experienced the challenge of taking notes during a...

Meta Llama 3 models are now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that Meta Llama 3 foundation models are available through Amazon SageMaker JumpStart to deploy and run inference. The Llama...

Slack delivers native and secure generative AI powered by Amazon SageMaker JumpStart | Amazon Web Services

This post is co-authored by Jackie Rocca, VP of Product, AI at Slack Slack is where work...

Fintech’s data centers face a GenAI “energy paradox”

Data centers make the world go round. These buildings house the servers that store and compute every digital function our societies carry out. The...

Uncover hidden connections in unstructured financial data with Amazon Bedrock and Amazon Neptune | Amazon Web Services

In asset management, portfolio managers need to closely monitor companies in their investment universe to identify risks and opportunities, and guide investment decisions. Tracking...

Open source observability for AWS Inferentia nodes within Amazon EKS clusters | Amazon Web Services

Recent developments in machine learning (ML) have led to increasingly large models, some of which require hundreds of billions of parameters. Although they are...

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