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

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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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

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 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

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

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

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

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

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

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

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 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

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

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

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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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

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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AWS Machine Learning Blog

APRIL 4, 2025

When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG) evaluation capabilities in public preview at AWS re:Invent 2024 , customers used them to assess their foundation models (FMs) and generative AI applications, but asked for more flexibility beyond Amazon Bedrock models and knowledge bases.

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AWS Machine Learning Blog

NOVEMBER 21, 2024

We guide you through deploying the necessary infrastructure using AWS CloudFormation , creating an internal labeling workforce, and setting up your first labeling job. Solution overview This audio/video segmentation solution combines several AWS services to create a robust annotation workflow. We demonstrate how to use Wavesurfer.js

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AWS Machine Learning Blog

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. The open source version works on a customers AWS account so you can experiment on your AWS account with your proprietary data. For more information, contact us at info@flotorch.ai.

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AWS Machine Learning Blog

JULY 10, 2024

During the last 18 months, we’ve launched more than twice as many machine learning (ML) and generative AI features into general availability than the other major cloud providers combined. Each application can be immediately scaled to thousands of users and is secure and fully managed by AWS, eliminating the need for any operational expertise.

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Dataconomy

MARCH 19, 2024

Get ready to dive into the latest advancements in artificial intelligence as we unpack everything unveiled at GTC 2024, the premier AI conference for developers, business leaders, and AI researchers. Integration of the new NVIDIA Blackwell GPU platform into AWS infrastructure is announced, enhancing generative AI capabilities.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Prerequisites To build the solution yourself, there are the following prerequisites: You need an AWS account with an AWS Identity and Access Management (IAM) role that has permissions to manage resources created as part of the solution (for example AmazonSageMakerFullAccess and AmazonS3FullAccess ).

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. times larger and 1.4 times faster than H100 GPUs.

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AWS Machine Learning Blog

MAY 7, 2024

Based on a survey conducted by American Express in 2023, 41% of business meetings are expected to take place in hybrid or virtual format by 2024. Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects.

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Dataconomy

JULY 11, 2024

In 2024, several technologies are set to revolutionize the way we develop mobile apps, enhancing performance, security, and user experience. Machine learning frameworks Frameworks like TensorFlow Lite and Core ML allow developers to integrate machine learning models into mobile apps.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

Amazon Lookout for Equipment , the AWS machine learning (ML) service designed for industrial equipment predictive maintenance, will no longer be open to new customers effective October 17, 2024. For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners.

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AWS Machine Learning Blog

OCTOBER 1, 2024

Amazon Monitron , the Amazon Web Services (AWS) machine learning (ML) service for industrial equipment condition monitoring, will no longer be available to new customers effective October 31, 2024. More details can be found in the following resources at AWS Partner Network. Product Manager for Monitron, at AWS.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Our solution aims to address those challenges using Amazon Bedrock and AWS Analytics Services. To address the challenges, our solution first incorporates the metadata of the data sources within the AWS Glue Data Catalog to increase the accuracy of the generated SQL query. Install the AWS Command Line Interface (AWS CLI).

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AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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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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