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Tag: ML Models

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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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...

Why MLBOMs Are Useful for Securing the AI/ML Supply Chain

COMMENTARYThe days of large, monolithic apps are withering. Today's applications rely on microservices and code reuse, which makes development easier but creates complexity when...

Build an active learning pipeline for automatic annotation of images with AWS services | Amazon Web Services

This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company...

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive...

Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints | Amazon Web Services

This is a guest post co-written with Tamir Rubinsky and Aviad Aranias from Nielsen Sports. Nielsen Sports...

TruCentive Enhances Privacy With HIPAA Compliant Personal Information De-identification

PRESS RELEASEPALO ALTO, Calif., April 2, 2024/PRNewswire-PRWeb/ -- TruCentive, a leader in incentive automation solutions, announced a significant enhancement to its platform: HIPAA-compliant personal...

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered...

Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services

This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the...

Coinbase’s Vision for the Future of AI and Blockchain Integration

In a recent blog post by Coinbase, the company outlined the burgeoning growth in artificial intelligence (AI) capabilities and their intersection with blockchain technology,...

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2 | Amazon Web Services

This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the...

Unlock the potential of generative AI in industrial operations | Amazon Web Services

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...

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