AWS Machine Learning Blog

FEBRUARY 13, 2025

AWS Lambda functions for executing specific actions (such as submitting vacation requests or expense reports). To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram. Maira Ladeira Tanke is a Senior Generative AI Data Scientist at AWS.

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Flipboard

APRIL 23, 2025

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

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AWS Machine Learning Blog

MAY 14, 2025

You can execute each step in the training pipeline by initiating the process through the SageMaker control plane using APIs, AWS Command Line Interface (AWS CLI), or the SageMaker ModelTrainer SDK. Alternatively, you can also use AWS Systems Manager and run a command such as the following to start the session.

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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

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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Hacker News

JULY 1, 2025

I've created docker containers from scratch and set up AWS Fargate and all the related services to run them and connect them to a public IP address. I was on the board of directors for furry convention for 3 years where I learned a lot about running a business. Learned a bit about accounting and Human Resources from relatives.

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Flipboard

MAY 30, 2025

Throughout these examples, you will learn how the comprehensive suite of AWS services, including Amazon Bedrock and Amazon SageMaker , are the key to success. Finally, we list key learnings commonly shared across these use cases. Last year, the AWS Machine Learning Blog published a post detailing the image generation solution.

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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. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

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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. The new Automated Reasoning checks safeguard is available today in preview in Amazon Bedrock Guardrails in the US West (Oregon) AWS Region. Happy building!

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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. Alternatively and recommended, you can deploy a ready-made EKS cluster with a single AWS CloudFormation template. in the aws-do-ray GitHub repo. The fsdp-ray.py

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Hacker News

JULY 1, 2025

reply willguest 2 hours ago | parent | prev | next [–] no mention of any system-level strategy on the website. pumping more candidates (even good ones) into a busted system is like increasing the flow rate into a cracked bucket. On the backend we're using 100% Go with AWS primitives. All on Serverless AWS.

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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. In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture.

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AWS Machine Learning Blog

JANUARY 10, 2024

The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle.

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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

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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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. Based on a lookup against FIPS codes, the function moves the image into the curated data S3 bucket.

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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

MARCH 31, 2023

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

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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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Towards AI

MARCH 1, 2023

While many major tech companies are building their own alternative to ChatGPT, we are particularly excited to see open-source alternatives that can make next-generation LLM models more accessible, flexible, and affordable for the machine learning community. on a dedicated capacity.

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AWS Machine Learning Blog

JUNE 6, 2025

Organizations also use multiple AWS accounts for their users. Larger enterprises might want to separate different business units, teams, or environments (production, staging, development) into different AWS accounts. This provides more granular control and isolation between these different parts of the organization.

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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. This would have required a dedicated cross-disciplinary team with expertise in data science, machine learning, and domain knowledge. About the authors Tamer Soliman is a Senior Solutions Architect at AWS.

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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. Create a new AWS Identity and Access Management (IAM) role. The steps in this post demonstrated how to build the solution on the AWS Management Console.

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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. Core Features Exalytics is engineered for speed and scalability.

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The MLOps Blog

MARCH 12, 2024

Machine Learning Operations (MLOps) vs Large Language Model Operations (LLMOps) LLMOps fall under MLOps (Machine Learning Operations). The following table provides a more detailed comparison: Task MLOps LLMOps Primary focus Developing and deploying machine-learning models. Specifically focused on LLMs.

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AWS Machine Learning Blog

AUGUST 15, 2023

The team successfully migrated a subset of self-managed ML models in the image moderation system for nudity and not safe for work (NSFW) content detection to the Amazon Rekognition Detect Moderation API, taking advantage of the highly accurate and comprehensive pre-trained moderation models.

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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

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

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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