AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. The chatbot built by AWS GenAIIC would take in this tag data and retrieve insights.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. at a minimum).

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AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

This solution is available in the AWS Solutions Library. The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing.

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Towards AI

MARCH 1, 2023

The strategic partnership between Hugging Face and Amazon Web Services (AWS) looks like a positive step in this direction and should increase the availability of open-source data sets and models hosted on Hugging Face. We were also pleased to see the release of Meta’s LLaMA, 4 foundation models ranging from 7B to 65B parameters.

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AWS Machine Learning Blog

JANUARY 30, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. With Forecast, there are no servers to provision or ML models to build manually. Create a new AWS Identity and Access Management (IAM) role. Delete the S3 bucket.

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Flipboard

DECEMBER 6, 2023

needed to address some of these challenges in one of their many AI use cases built on AWS. About the authors Tamer Soliman is a Senior Solutions Architect at AWS. He helps Independent Software Vendor (ISV) customers innovate, build, and scale on AWS. In her free time, she likes to go for long runs along the beach.

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Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. They now support AI/ML workloads, enabling enterprises to train and deploy models faster.

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AWS Machine Learning Blog

AUGUST 15, 2023

The decision handler determines the moderation action and provides reasons for its decision based on the ML models’ output, thereby deciding whether the image required a further review by a human moderator or could be automatically approved or rejected.

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Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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AWS Machine Learning Blog

APRIL 10, 2025

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod.

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AWS Machine Learning Blog

APRIL 2, 2025

Ray promotes the same coding patterns for both a simple machine learning (ML) experiment and a scalable, resilient production application. Overview of Ray This section provides a high-level overview of the Ray tools and frameworks for AI/ML workloads. We primarily focus on ML training use cases.

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AWS Machine Learning Blog

APRIL 14, 2025

AWS has introduced a multi-agent collaboration capability for Amazon Bedrock Agents , enabling developers to build, deploy, and manage multiple AI agents working together on complex tasks. Stateful architecture Support for stateful and adaptive agents within a graph-based architecture enables more sophisticated behaviors and interactions.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

This post describes how Agmatix uses Amazon Bedrock and AWS fully featured services to enhance the research process and development of higher-yielding seeds and sustainable molecules for global agriculture. AWS generative AI services provide a solution In addition to other AWS services, Agmatix uses Amazon Bedrock to solve these challenges.

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AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Moreover, these teams might be geographically dispersed and run their workloads in different locations and regions; many hosted on AWS, some elsewhere.

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AWS Machine Learning Blog

MARCH 13, 2025

Agent broker methodology Following an agent broker pattern, the system is still fundamentally event-driven, with actions triggered by the arrival of messages. New agents can be added to handle specific types of messages without changing the overall system architecture.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. Automated Reasoning cant predict future events or handle ambiguous situations, nor can it learn from new data such as ML models. To learn more, visit Amazon Bedrock Guardrails.

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AWS Machine Learning Blog

JANUARY 28, 2025

This optimization is available in the US East (Ohio) AWS Region for select FMs, including Anthropics Claude 3.5 In this section, we explore how different system components and architectural decisions impact overall application responsiveness. Rupinder Grewal is a Senior AI/ML Specialist Solutions Architect with AWS.

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