AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. AWS CloudTrail – Monitors and records account activity across AWS infrastructure.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. Finally, there is no labeled data available for training a supervised machine learning model.

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OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

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AWS Machine Learning Blog

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. The workflow steps are as follows: AWS Lambda running in your private VPC subnet receives the prompt request from the generative AI application.

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AWS Machine Learning Blog

JUNE 20, 2024

AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow.

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NOVEMBER 18, 2024

Amazon Web Services(AWS) has introduced Multi-Agent Orchestrator, a framework, that offers a solution for managing multiple AI agents and handling complex conversations.

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NOVEMBER 18, 2024

Unleash your inner developer with AWS App Studio, the generative AI-powered application builder. Turn your idea into fully-fledged, intelligent, custom, secure, and scalable software in minutes.

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AWS Machine Learning Blog

SEPTEMBER 18, 2023

Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. The full code can be found on the aws-samples-for-ray GitHub repository.

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JANUARY 6, 2025

Amazon Web Services (AWS) re:Invent drew nearly 60,000 attendees from across the globe to Las Vegas, Nevada, December 26, 2024. The conference featured 5 keynotes, 18 innovation talks, and 1,900 sessions and hands-on labs offering immersive learning and networking opportunities.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

In order to improve our equipment reliability, we partnered with the Amazon Machine Learning Solutions Lab to develop a custom machine learning (ML) model capable of predicting equipment issues prior to failure. We first highlight how we use AWS Glue for highly parallel data processing. Additionally, 10.4%

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. In the first post, we described FL concepts and the FedML framework.

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AWS Machine Learning Blog

DECEMBER 24, 2024

To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/

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AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

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AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. About the authors Jonathan Buck is a Software Engineer at Amazon Web Services working at the intersection of machine learning and distributed systems.

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NOVEMBER 27, 2023

Amazon AWS, the cloud computing giant, has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging and exciting field of generative AI. But this week, at its annual AWS Re:Invent conference, Amazon plans to showcase its ambitious vision for generative AI, …

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AWS Machine Learning Blog

DECEMBER 14, 2023

This is a customer post jointly authored by ICL and AWS employees. To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines.

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AWS Machine Learning Blog

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. To learn more about Llama 2 on AWS, refer to Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart. Virginia) and US West (Oregon) AWS Regions, and most recently announced general availability in the US East (Ohio) Region.

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DECEMBER 13, 2024

The AWS re:Invent gathering in Las Vegas last week provided several newsworthy announcements, including the cloud giants entry into the world of AI

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

Architecting specific AWS Cloud solutions involves creating diagrams that show relationships and interactions between different services. Instead of building the code manually, you can use Anthropic’s Claude 3’s image analysis capabilities to generate AWS CloudFormation templates by passing an architecture diagram as input.

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DECEMBER 5, 2024

Dive Brief: PwC is expanding its alliance with AWS in pursuit of industry-tailored generative AI applications, the two companies announced at AWS

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DECEMBER 3, 2024

Apple surprised everyone with its presence at AWS re:Invent 2024. During his keynote, AWS chief Matt Garman invited Benoit Dupin, Apple’s senior director of machine learning and AI, on stage to speak about how the company works with Amazon Web Services (AWS) and uses its servers to power its AI and machine learning features.

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DECEMBER 5, 2024

I sat down with AWS CEO Matt Garman at the company’s re:Invent conference in Las Vegas, Nevada to talk through Amazon’s AI strategy and plans for the future.

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AWS Machine Learning Blog

AUGUST 28, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS Cloud Development Kit (AWS CDK), enabling organizations to quickly set up a powerful question answering system. The AWS CDK already set up. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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DECEMBER 3, 2024

AWS Database Migration Service Schema Conversion (DMS SC) helps you accelerate your database migration to AWS. Using DMS SC, you can assess, convert, …

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

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JANUARY 16, 2024

In this contributed article, Stefano Soatto, Professor of Computer Science at the University of California, Los Angeles and a Vice President at Amazon Web Services, discusses generative AI models and how they are designed and trained to hallucinate, so hallucinations are a common product of any generative model.

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AWS Machine Learning Blog

OCTOBER 31, 2024

By integrating human annotators with machine learning, SageMaker Ground Truth significantly reduces the cost and time required for data labeling. Create the labeling job using the CreateLabelingJob API You can also create the custom labeling job programmatically by using the AWS SDK to invoke the CreateLabelingJob API.

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AWS Machine Learning Blog

JUNE 25, 2024

Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container , an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS). Prometheus requires the Container Storage Interface (CSI) in the EKS cluster.

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JANUARY 7, 2025

Learn more about Project Ceiba, one of worlds fastest AI super computer, and the latest co-invention between NVIDIA and AWS.

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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. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

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AWS Machine Learning Blog

APRIL 25, 2023

In this release, you can run your local machine learning (ML) Python code as a single-node Amazon SageMaker training job or multiple parallel jobs. As a prerequisite, you must have the AWS Command Line Interface (AWS CLI), SageMaker Python SDK, and AWS SDK for Python (Boto3) installed in your local environment.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Prerequisites To run this step-by-step guide, you need an AWS account with permissions to SageMaker, Amazon Elastic Container Registry (Amazon ECR), AWS Identity and Access Management (IAM), and AWS CodeBuild. Complete the following steps: Sign in to the AWS Management Console and open the IAM console. Dima has a M.Sc

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JULY 21, 2023

Dive Brief:• AWS launched a generative AI primer course aimed at executives Thursday, available for free on the AWS Skill Builder platform and its …

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MAY 10, 2023

IBM is taking on the likes of Microsoft, AWS, and Google by introducing Watsonx, a new generative AI platform, which will help enterprises design and …

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. In this post, we demonstrate how to use the managed ML platform to provide a notebook experience environment and perform federated learning across AWS accounts, using SageMaker training jobs.

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JUNE 28, 2023

DeepLearning.AI, in partnership with AWS, has announced an exciting new course on Coursera called "Generative AI with Large Language Models"

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