Amazon SageMaker

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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI, Intermediate (200) /

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be […]

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Innovate business logic by implementing return of control in Amazon Bedrock Agents

Advanced (300), Amazon SageMaker, Artificial Intelligence, Learning Levels /

In the context of distributed systems and microservices architecture, orchestrating communication between diverse components presents significant challenges. However, with the launch of Amazon Bedrock Agents, the landscape is evolving, offering a simplified approach to agent creation and seamless integration of the return of control capability. In this post, we explore how Amazon Bedrock Agents revolutionizes

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Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod

Amazon SageMaker, Amazon SageMaker HyperPod, Artificial Intelligence, Foundation models, Generative AI, Technical How-to /

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this

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Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless

Amazon Machine Learning, Amazon OpenSearch Service, Amazon SageMaker, Amazon SageMaker AI, Best Practices, Generative AI, Technical How-to, Video analysis /

As companies and individual users deal with constantly growing amounts of video content, the ability to perform low-effort search to retrieve videos or video segments using natural language becomes increasingly valuable. Semantic video search offers a powerful solution to this problem, so users can search for relevant video content based on textual queries or descriptions.

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Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

Amazon SageMaker, Amazon SageMaker AI, Amazon SageMaker Autopilot, Artificial Intelligence, Customer Solutions, Experience-Based Acceleration /

This post is co-written with Qing Chen and Mark Sinclair from Radial. Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. With over 30 years of industry expertise, Radial tailors its services and solutions to align strategically with each brand’s unique needs. Radial

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Run small language models cost-efficiently with AWS Graviton and Amazon SageMaker AI

Amazon SageMaker, Amazon SageMaker AI, Graviton /

As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. Amazon SageMaker AI provides a fully managed service for deploying these machine learning (ML) models with multiple inference options, allowing organizations to optimize for cost, latency, and throughput. AWS has always

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How ZURU improved the accuracy of floor plan generation by 109% using Amazon Bedrock and Amazon SageMaker

Amazon Bedrock, Amazon SageMaker, Customer Solutions /

ZURU Tech is on a mission to change the way we build, from town houses and hospitals to office towers, schools, apartment blocks, and more. Dreamcatcher is a user-friendly platform developed by ZURU that allows users with any level of experience to collaborate in the building design and construction process. With the simple click of

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Deploy Amazon SageMaker Projects with Terraform Cloud

Amazon SageMaker, Amazon SageMaker Data & AI Governance, Amazon SageMaker Studio, Technical How-to /

Amazon SageMaker Projects empower data scientists to self-serve Amazon Web Services (AWS) tooling and infrastructure to organize all entities of the machine learning (ML) lifecycle, and further enable organizations to standardize and constrain the resources available to their data science teams in pre-packaged templates. For AWS customers using Terraform to define and manage their infrastructure-as-code (IaC),

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Revolutionizing earth observation with geospatial foundation models on AWS

Advanced (300), Amazon OpenSearch Service, Amazon SageMaker, Amazon SageMaker AI, Foundation models, Geospatial ML with Amazon SageMaker, Technical How-to /

Emerging transformer-based vision models for geospatial data—also called geospatial foundation models (GeoFMs)—offer a new and powerful technology for mapping the earth’s surface at a continental scale, providing stakeholders with the tooling to detect and monitor surface-level ecosystem conditions such as forest degradation, natural disaster impact, crop yield, and many others. GeoFMs represent an emerging research

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Gemma 3 27B model now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Amazon Bedrock, Amazon SageMaker, Announcements, Generative AI, Technical How-to /

We are excited to announce the availability of Gemma 3 27B Instruct models through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now deploy Gemma 3, a 27-billion-parameter language model, along with its specialized instruction-following versions, to help accelerate building, experimentation, and scalable deployment of generative AI solutions

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