AWS Machine Learning Blog

NOVEMBER 29, 2024

You can use open-source libraries, or the AWS managed Large Model Inference (LMI) deep learning container (DLC) to dynamically load and unload adapter weights. Prerequisites To run the example notebooks, you need an AWS account with an AWS Identity and Access Management (IAM) role with permissions to manage resources created.

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AWS Machine Learning Blog

SEPTEMBER 4, 2024

A challenge for DevOps engineers is the additional complexity that comes from using Kubernetes to manage the deployment stage while resorting to other tools (such as the AWS SDK or AWS CloudFormation ) to manage the model building pipeline. kubectl for working with Kubernetes clusters. eksctl for working with EKS clusters.

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Flipboard

NOVEMBER 20, 2024

Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. model in Amazon Bedrock.

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Hacker News

JANUARY 22, 2025

From June 30, 2020 until January 14, 2025, one of the core Internet servers that MasterCard uses to direct traffic for portions of the mastercard.com network was misnamed. The misconfiguration persisted for nearly five years until a security researcher spent $300 to register the domain and prevent it from being grabbed by cybercriminals.

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AWS Machine Learning Blog

MAY 23, 2023

In April 2023, AWS unveiled Amazon Bedrock , which provides a way to build generative AI-powered apps via pre-trained models from startups including AI21 Labs , Anthropic , and Stability AI. Amazon Bedrock also offers access to Titan foundation models, a family of models trained in-house by AWS. Deploy the AWS CDK application.

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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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Flipboard

NOVEMBER 22, 2023

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and also discoverable on the AWS Data Exchange. This quarter, AWS released 34 new or updated datasets.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines. In a later post, we will do a deep dive into the DNNs used by ADAS systems.

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AWS Machine Learning Blog

SEPTEMBER 30, 2024

In this blog post, we will show you how to leverage AI21 Labs’ Task-Specific Models (TSMs) on AWS to enhance your business operations. You will learn the steps to subscribe to AI21 Labs in the AWS Marketplace, set up a domain in Amazon SageMaker, and utilize AI21 TSMs via SageMaker JumpStart. Limits are account and resource specific.

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AWS Machine Learning Blog

AUGUST 3, 2023

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. In this post, we share how to enhance your IDP solution on AWS with generative AI.

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AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS. Conclusion.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

When AWS launched purpose-built accelerators with the first release of AWS Inferentia in 2020, the M5 team quickly began to utilize them to more efficiently deploy production workloads , saving both cost and reducing latency. Like many ML organizations, accelerators are largely used to accelerate DL training and inference.

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Flipboard

DECEMBER 3, 2024

At Amazon Web Services (AWS) , we are committed to empowering our partners to accelerate their cloud innovation journeys. In 2023, we expanded PTP to include Targeted Transformation Modules (TTMs), which provide tailored guidance to help AWS Partners accelerate their journey in specific topic areas.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. For Account ID , enter the AWS account ID of the owner of the accepter VPC.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The company had to be among the top 15 vendors by the reported revenues of 2020–2021 in the APEJ region, according to IDC’s AI Software Tracker. AWS position.

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Data Science 101

JANUARY 3, 2020

2020 is here. I did create my list of 3 predictions for 2020, so those will be coming out soon. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. This is a free webinar on January 28, 2020.

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AWS Machine Learning Blog

DECEMBER 14, 2023

In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution.

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Data Science 101

JANUARY 31, 2020

Recent Announcements from Google BigQuery Easier to analyze Parquet and ORC files, a new bucketize transformation, new partitioning options AWS Database export to S3 Data from Amazon RDS or Aurora databases can now be exported to Amazon S3 as a Parquet file. The first course in this series should be arriving in February 2020.

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Data Science 101

MARCH 7, 2020

AWS DeepRacer 2020 Season is underway This looks to be a fun project. Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The frameworks in Azure will now have better security, performance, and monitoring. I might have to join in the future.

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Tableau

MARCH 9, 2021

We just completed our annual Tableau Partner Executive Kick Offs (PEKO), where top partners from around the world join us virtually to celebrate all the great performances in 2020 and hear from Tableau executives on our direction for FY22. Thank you to all of our nominees for their incredible work in 2020! We appreciate you AWS!

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IBM Journey to AI blog

JULY 19, 2023

In this blog post, we will showcase how IBM Consulting is partnering with AWS and leveraging Large Language Models (LLMs), on IBM Consulting’s generative AI-Automation platform (ATOM), to create industry-aware, life sciences domain-trained foundation models to generate first drafts of the narrative documents, with an aim to assist human teams.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. The architecture maps the different capabilities of the ML platform to AWS accounts. The reference architecture for the ML platform with various AWS services is shown in the following diagram.

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Data Science 101

FEBRUARY 22, 2020

This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Dates are set for Google Cloud Next 2020 It is April 6-8, 2020 in San Francisco Power BI has a new usage metrics report Power BI is the visualization and reporting tool from Microsoft.

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Data Science 101

JANUARY 10, 2020

2020 is now in full swing and the announcements are starting to show up. Upcoming Online ML/AI Conference, AWS Innovate A free, online conference hosted by Amazon Web Services. It focuses on using AWS products to solve data science problems. It is February 19, 2020. There are some good ones this week.

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AWS Machine Learning Blog

JUNE 24, 2024

Amazon SageMaker Ground Truth is an AWS managed service that makes it straightforward and cost-effective to get high-quality labeled data for machine learning (ML) models by combining ML and expert human annotation. Overall Architecture Krikey AI built their AI-powered 3D animation platform using a comprehensive suite of AWS services.

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Alation

SEPTEMBER 8, 2022

That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership. Amazon EMR.

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AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution. I need numbers."

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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Data Science 101

FEBRUARY 29, 2020

The event is Monday, March 2, 2020 at 9am PST. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2, Women in Data Science Livestream This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. It is now generally available (GA).

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Since Amazon Bedrock is serverless, customers don’t have to manage any infrastructure, and they can securely integrate and deploy generative AI capabilities into their applications using the AWS services they are already familiar with. And you can expect the same AWS access controls that you have with any other AWS service.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

AWS is the first leading cloud provider to offer the H200 GPU in production. Get started with P5e instances When launching P5 instances, you can use AWS Deep Learning AMIs (DLAMI) to support P5 instances. P5e instances now available EC2 P5e instances are now available in the US East (Ohio) AWS Region in the p5e.48xlarge

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Data Science 101

OCTOBER 24, 2020

If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. This is a great talk for data scientists and managers of technology teams.

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base. Create a Lambda function This Lambda function is deployed using an AWS CloudFormation template available in the GitHub repo under the /cfn folder.

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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Tableau

NOVEMBER 24, 2019

Modern Cloud Analytics (MCA) combines the resources, technical expertise, and data knowledge of Tableau, Amazon Web Services (AWS) , and our respective partner networks to help organizations maximize the value of their end-to-end data and analytics investments. Core product integration and connectivity between Tableau and AWS.

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