AWS Machine Learning Blog

NOVEMBER 26, 2024

We use AWS Fargate to run CPU inferences and other supporting components, usually alongside a comprehensive frontend API. Since joining as an early engineer hire in 2019, he has steadily worked on the design and architecture of Rad AI’s online inference systems.

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JANUARY 14, 2025

The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents. At AWS, he led the Dialog2API project, which enables large language models to interact with the external environment through dialogue.

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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

NOVEMBER 1, 2024

Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS. Jennifer Zhu is a Senior Applied Scientist at AWS Bedrock, where she helps building and scaling generative AI applications with foundation models. She innovates and applies machine learning to help AWS customers speed up their AI and cloud adoption.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019. Fine-tuning Mistral 7B on AWS Fastweb recognized the importance of developing language models tailored to the Italian language and culture.

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AWS Machine Learning Blog

FEBRUARY 11, 2025

Today, AWS AI released GraphStorm v0.4. Prerequisites To run this example, you will need an AWS account, an Amazon SageMaker Studio domain, and the necessary permissions to run BYOC SageMaker jobs. Using SageMaker Pipelines to train models provides several benefits, like reduced costs, auditability, and lineage tracking. million edges.

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ODSC - Open Data Science

JULY 24, 2025

Amazon spokesperson Brad Glasser confirmed the move, stating the company “ made the difficult business decision to eliminate some roles across particular teams ” in AWS. In 2019, the company shut down its e-commerce marketplace in the region. -China tensions. The Financial Times was the first to report the lab’s closure.

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Smart Data Collective

JULY 20, 2025

Instead, break it down: “Configured and maintained Windows Server 2019 environments,” “Implemented Active Directory Group Policies,” “Automated patch management using PowerShell scripts.” Vendor-Specific: Microsoft (Azure, M365), Cisco (CCNA, CCNP), AWS, Google Cloud, Red Hat. Quantify Your Impact: Whenever possible, use numbers.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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AWS Machine Learning Blog

JULY 17, 2025

Today, we’re excited to introduce a comprehensive approach to model evaluation through the Amazon Nova LLM-as-a-Judge capability on Amazon SageMaker AI , a fully managed Amazon Web Services (AWS) service to build, train, and deploy machine learning (ML) models at scale. You can use JupyterLab in your local setup, too.)

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Smart Data Collective

JUNE 22, 2025

TAGGED: AI data mining Share This Article Facebook Pinterest LinkedIn Share By Alexandra Bohigian Follow: Alexandra Bohigian is the marketing coordinator at Enola Labs Software , a software development and AWS consulting company based in Austin, TX. Followers Like 33.7k Followers Like 33.7k

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NOVEMBER 27, 2024

The major components are an Amazon Simple Storage Service (Amazon S3) bucket, Amazon CloudFront, Amazon Cognito, AWS Lambda, Amazon DynamoDB, AWS AppSync, and Amazon Simple Queue Service (Amazon SQS). The file upload process invokes the Process Documents AWS Lambda function. Steps 1 to 4 : a. Steps 5 to 6 : a.

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phData

NOVEMBER 8, 2024

2019 - Delta Lake Databricks released Delta Lake as an open-source project. 2021 - Iceberg and Delta Lake Gain Traction in the Industry Apache Iceberg, Hudi, and Delta Lake continued to mature with support from major cloud providers, including AWS, Google Cloud, and Azure.

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AWS Machine Learning Blog

MARCH 25, 2025

According to Gartner , the average desk worker now uses 11 applications to complete their tasks, up from just 6 in 2019. This is why AWS announced the Amazon Q index for ISVs at AWS re:Invent 2024. The process involves three simple steps: The ISV registers with AWS a data accessor.

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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. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

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JUNE 27, 2025

One example is the NFL , which entered into a partnership in 2017 with Amazon Web Services (AWS) to begin to use machine learning for data collection on the NFL Next Gen Stats platform. Stay Ahead of the Game, Get Our Newsletters Subscribe for the biggest stories in the business of sports and entertainment, daily.

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Hacker News

JUNE 12, 2025

Join us for a meetup about our work, lessons learned, and where we see the future of open source security going by following our meetup calendar [link] Tags : Audit , gitlab , open source , OSTIF , Ruby on Rails , security , Sovereign Tech Agency , x41 D-Sec Topics ADA Logics Audits AWS Bug Bounties Chainguard CNCF Eclipse Foundation Encryption Financial (..)

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Hacker News

JUNE 6, 2025

Finally — and this issue was one I caught promptly as a result of including boot performance in my weekly testing — in December 2024 I updated the net/aws-ec2-imdsv2-get port to support IPv6. ZFS images promptly dropped from ~22 seconds down to ~11 seconds of boot time.

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Hacker News

JUNE 9, 2025

> In your now-famous OOPSLA '98 talk, you mention an early application of indirection and late binding - a tape having jump tables at the beginning. Do you have more back-story on this?

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Hacker News

JULY 1, 2025

On the backend we're using 100% Go with AWS primitives. Stack : Python/Django, JavaScript, VueJS, PostgreSQL, Snowflake, Docker, Git, AWS, AI/LLM integrations (OpenAI & Gemini). My last startup, Bayes, went through YC in 2019. All on Serverless AWS. Profitable, 15+ yrs stable, 100% employee-owned.

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AWS Machine Learning Blog

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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KDnuggets

DECEMBER 12, 2019

This post attempts to summarize my recent detour into NLP, describing how I exposed a Huggingface pre-trained Language Model (LM) on an AWS-based web application.

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APRIL 13, 2023

At AWS, we have played a key role in democratizing ML and making it accessible to anyone who wants to use it, including more than 100,000 customers of all sizes and industries. AWS has the broadest and deepest portfolio of AI and ML services at all three layers of the stack. Today’s FMs, such as the large language models (LLMs) GPT3.5

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Data Science 101

MAY 23, 2019

Here is the latest data science news for May 2019. Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Google I/O 2019 Videos – Google’s big annual conference. From Data Science 101. General Data Science. Many of the presentation are available to watch online.

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Data Science 101

DECEMBER 2, 2019

AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Parts of the event will be livestreamed , so you can watch from anywhere. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. After careful consideration, we have made the decision to end support for AWS DeepComposer, effective September 17, 2025. About the author Kanchan Jagannathan is a Sr.

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AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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AWS Machine Learning Blog

MAY 10, 2024

And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamentals. By exploring the AWS DeepRacer ML training lifecycle, you’ll practice model training, evaluation, and deployment of ML models onto a 1/18th scale autonomous race car, using a human-in-the-loop experience.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia. 2048 256 10.4

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AWS Machine Learning Blog

JUNE 13, 2023

AWS Inferentia2 was designed from the ground up to deliver higher performance while lowering the cost of LLMs and generative AI inference. In this post, we show how the second generation of AWS Inferentia builds on the capabilities introduced with AWS Inferentia1 and meets the unique demands of deploying and running LLMs and FMs.

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MARCH 3, 2025

In 2019, Volkswagen AG (VW) and Amazon Web Services (AWS) formed a strategic collaboration to develop the Digital Production Platform (DPP), designed

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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

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. Unfortunately, as in the real world, not all players communicate appropriately and respectfully.

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