AWS Machine Learning Blog

OCTOBER 31, 2024

Previously, setting up a custom labeling job required specifying two AWS Lambda functions: a pre-annotation function, which is run on each dataset object before it’s sent to workers, and a post-annotation function, which is run on the annotations of each dataset object and consolidates multiple worker annotations if needed.

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AWS Machine Learning Blog

APRIL 11, 2025

The AWS DeepRacer League is the worlds first autonomous racing league, open to anyone. While the final championships concluded at re:Invent 2024, that same event played host to a brand new AI competition, ushering in a new era of gamified learning in the age of generative AI.

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DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. The model is deployed in an AWS secure environment and under your virtual private cloud (VPC) controls, helping provide data security.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. are the sessions dedicated to AWS DeepRacer ! are the sessions dedicated to AWS DeepRacer !

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Lets assume that the question What date will AWS re:invent 2024 occur? The corresponding answer is also input as AWS re:Invent 2024 takes place on December 26, 2024. If the question was Whats the schedule for AWS events in December?, is within the verified semantic cache. Query processing: a.

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MAY 14, 2025

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. It combines interactive dashboards, natural language query capabilities, pixel-perfect reporting , machine learning (ML) driven insights, and scalable embedded analytics in a single, unified service.

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AWS Machine Learning Blog

AUGUST 29, 2024

The AWS DeepRacer League is the world’s first autonomous racing league, open to everyone and powered by machine learning (ML). AWS DeepRacer brings builders together from around the world, creating a community where you learn ML hands-on through friendly autonomous racing competitions.

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AWS Machine Learning Blog

FEBRUARY 28, 2025

AWS DeepRacer League 2024 Championship finalists at re:Invent 2024 The AWS DeepRacer League is the worlds first global autonomous racing league powered by machine learning (ML). The following image displays the 2024 qualifiers.

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AWS Machine Learning Blog

MAY 20, 2025

This post explores how Onity Group , a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities. Amazon Textract is a ML service that automates the extraction of text, data, and insights from documents and images.

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Flipboard

JUNE 4, 2025

In 2024, climate disasters caused more than $417B in damages globally, and theres no slowing down in 2025 with LA wildfires that destroyed more than $135B in the first month of the year alone. To offer a more concrete look at these trends, the following is a deep dive into how climate tech startups are building FMs on AWS.

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AWS Machine Learning Blog

OCTOBER 10, 2024

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners.

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MAY 29, 2025

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. Lets dive in!

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AWS Machine Learning Blog

OCTOBER 11, 2024

Since our founding nearly two decades ago, machine learning (ML) and artificial intelligence (AI) have been at the heart of building data-driven products that better match job seekers with the right roles and get people hired. Within weeks, we fine-tuned our best-performing model to-date and released it.

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AWS Machine Learning Blog

DECEMBER 2, 2024

At re:Invent 2024, we are excited to announce new capabilities to speed up your AI inference workloads with NVIDIA accelerated computing and software offerings on Amazon SageMaker. We’ll walk through the process of deploying NVIDIA NIM microservices from AWS Marketplace for SageMaker Inference.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Implementation details We spin up the cluster by calling the SageMaker control plane through APIs or the AWS Command Line Interface (AWS CLI) or using the SageMaker AWS SDK. To request a service quota increase, on the AWS Service Quotas console , navigate to AWS services , Amazon SageMaker , and choose ml.p4d.24xlarge

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AWS Machine Learning Blog

DECEMBER 10, 2024

You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Prerequisites To try out Pixtral 12B in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources.

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AWS Machine Learning Blog

DECEMBER 5, 2024

We guide you through a step-by-step implementation on how you can use the ( AWS CLI ) or the AWS Management Console to find, review, and create optimal training plans for your specific compute and timeline needs. If you’re setting up the AWS CLI for the first time, follow the instructions at Getting started with the AWS CLI.

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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. The quality assurance process includes automated testing methods combining ML-, algorithm-, or LLM-based evaluations. The team extensively used fine-tuned SLMs.

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AWS Machine Learning Blog

DECEMBER 4, 2024

At AWS re:Invent 2024, we are excited to introduce Amazon Bedrock Marketplace. Through Bedrock Marketplace, organizations can use Nemotron’s advanced capabilities while benefiting from the scalable infrastructure of AWS and NVIDIA’s robust technologies. Marc Karp is an ML Architect with the Amazon SageMaker Service team.

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AWS Machine Learning Blog

DECEMBER 5, 2024

At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. Achieving ISO/IEC 42001 certification means that an independent third party has validated that AWS is taking proactive steps to manage risks and opportunities associated with AI development, deployment, and operation.

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AWS Machine Learning Blog

APRIL 24, 2025

AWS Field Experience (AFX) empowers Amazon Web Services (AWS) sales teams with generative AI solutions built on Amazon Bedrock , improving how AWS sellers and customers interact. Last year, AFX introduced Account Summaries as the first in a forthcoming lineup of tools designed to support and streamline sales workflows.

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AWS Machine Learning Blog

JULY 25, 2024

In the post, we introduce the AWS Neuron node problem detector and recovery DaemonSet for AWS Trainium and AWS Inferentia on Amazon Elastic Kubernetes Service (Amazon EKS). eks-5e0fdde Install the required AWS Identity and Access Management (IAM) role for the service account and the node problem detector plugin.

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AWS Machine Learning Blog

MAY 28, 2025

You also need to deploy two AWS CloudFormation stacks: web_search and stock_data. You can also explore and run Amazon Bedrock multi-agent collaboration workshop with AWS specialists or on your own. About the Authors Sovik Kumar Nath is an AI/ML and Generative AI senior solution architect with AWS.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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AWS Machine Learning Blog

APRIL 30, 2025

We recommend referring to the Submit a model distillation job in Amazon Bedrock in the official AWS documentation for the most up-to-date and comprehensive information. You can track these job status details in both the AWS Management Console and AWS SDK. You are given a question and a set of possible functions.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The import job can be invoked using the AWS Management Console or through APIs. Service access role.

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databricks

JUNE 11, 2025

" — James Lin, Head of AI ML Innovation, Experian The Path Forward: From Lab to Production in Days, Not Months Early customers are already experiencing the transformation Agent Bricks delivers – accuracy improvements that double performance benchmarks and reduce development timelines from weeks to a single day.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker.

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AWS Machine Learning Blog

MARCH 3, 2025

Amazon SageMaker HyperPod recipes At re:Invent 2024, we announced the general availability of Amazon SageMaker HyperPod recipes. This design simplifies the complexity of distributed training while maintaining the flexibility needed for diverse machine learning (ML) workloads, making it an ideal solution for enterprise AI development.

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AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This feature is only supported when using inference components.

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AWS Machine Learning Blog

JULY 3, 2024

To solve this problem, this post shows you how to apply AWS services such as Amazon Bedrock , AWS Step Functions , and Amazon Simple Email Service (Amazon SES) to build a fully-automated multilingual calendar artificial intelligence (AI) assistant. It lets you orchestrate multiple steps in the pipeline.

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AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. Metaflow’s coherent APIs simplify the process of building real-world ML/AI systems in teams.

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AWS Machine Learning Blog

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. The following figure highlights where AWS lands in the DSML Magic Quadrant.

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AWS Machine Learning Blog

DECEMBER 3, 2024

According to New Relic’s 2024 Observability Forecast , businesses face a median annual downtime of 77 hours from high-impact outages. To get started on training, enroll for free Amazon Q training from AWS Training and Certification. Customer Solutions Manager at AWS. Solutions Architect at AWS. million per hour.

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