Generative AI on AWS – Generative AI, LLMs, and Foundation Models – AWS
NOVEMBER 16, 2024
Transform your business with generative AI Boost productivity, build differentiated experiences, and innovate faster with AWS Get started with …
AWS bets on liquid cooling for its AI servers
DECEMBER 2, 2024
It’s AWS re:Invent this week, Amazon’s annual cloud computing extravaganza in Las Vegas, and as is tradition, the company has so much to announce, it can’t fit everything into its five (!) Ahead of the show’s official opening, AWS on Monday detailed a number of updates to its overall data …
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Unlocking innovation: three key themes from AWS re:Invent 2024
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 Launches Multi-Agent Orchestrator for Managing AI Agents
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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Build and modify apps using natural language with AWS App Studio, now generally available
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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Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC
AWS Machine Learning Blog
JUNE 11, 2024
Starting with the AWS Neuron 2.18 release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.
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Build generative AI apps using AWS Step Functions and Amazon Bedrock
NOVEMBER 26, 2023
Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.
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Exclusive: Amazon AWS aims to outshine Microsoft with Gen AI offerings at Re:Invent
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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Tech stack modernization: AWS drives AI success - SiliconANGLE
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, PwC collab to create industry-tailored AI applications
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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Project Ceiba – Largest AI Super Computer Co-Built with NVIDIA - AWS
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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Use AWS PrivateLink to set up private access to Amazon Bedrock
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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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services
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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Matt Garman’s Vision for AWS: 400 Trillion Objects, $4B Anthropic Bet and More
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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New – Accelerate database modernization with generative AI using AWS Database Migration Service Schema Conversion
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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Generative AI Models Are Built to Hallucinate: The Question is How to Control Them
insideBIGDATA
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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Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock
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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Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework
JULY 5, 2023
Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS.
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AWS launches generative AI primer course aimed at executives
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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TigerEye (YC S22) Is Hiring a Full Stack Engineer
Hacker News
NOVEMBER 19, 2024
Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)
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The Weather Company enhances MLOps with Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch
AWS Machine Learning Blog
JULY 8, 2024
MLOps practitioners have many options to establish an MLOps platform; one among them is cloud-based integrated platforms that scale with data science teams. AWS provides a full-stack of services to establish an MLOps platform in the cloud that is customizable to your needs while reaping all the benefits of doing ML in the cloud.
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Revolutionizing large language model training with Arcee and AWS Trainium
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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IBM takes on AWS, Google, and Microsoft with Watsonx
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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Andrew Ng Releases Generative AI with LLMs Course with AWS
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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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker
AWS Machine Learning Blog
MARCH 15, 2024
Therefore, ML creates challenges for AWS customers who need to ensure privacy and security across distributed entities without compromising patient outcomes. After a blueprint is configured, it can be used to create consistent environments across multiple AWS accounts and Regions using continuous deployment automation.
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AWS announces generative A.I. tool to save doctors time on paperwork
JULY 26, 2023
Amazon Web Services on Wednesday announced a new service for health-care software providers called AWS HealthScribe, which uses generative artificial …
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PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium
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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Connect to Amazon services using AWS PrivateLink in Amazon SageMaker
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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How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker
AWS Machine Learning Blog
SEPTEMBER 5, 2023
In this post, we show how the Carrier and AWS teams applied ML to predict faults across large fleets of equipment using a single model. We first highlight how we use AWS Glue for highly parallel data processing. AWS Glue allowed us to easily run parallel data preprocessing and feature extraction. Additionally, 10.4%
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Nvidia Muscles Into Cloud Services, Rankling AWS
SEPTEMBER 11, 2023
Last year, Nvidia made an unusual proposal to Amazon Web Services and other cloud providers that have long been the biggest buyers of Nvidia’s specialized artificial intelligence server chips. Nvidia wanted to lease Nvidia-powered servers in the cloud providers’ data centers so it could turn.
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Amazon AWS Starts Free Generative AI Courses That Can Make Your Tech Career Future-Proof
NOVEMBER 20, 2023
Free Generative AI Training For Jobs That Are In Demand There are more than 80 free and low cost programs provided through the AWS service of Amazon. Amazon Aims To Skill 2 Million People In AI By 2025 And here's what the company is doing to see its commitment fulfilled. Free Courses For Developers And …
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AWS building ExaFLOPS-class supercomputer for AI with hundreds of thousands homegrown Trainium2 processors — AWS forges a path without Nvidia GPUs
DECEMBER 5, 2024
Amazon to quadruple performance of its AI processors by late 2025 as it readies giant ExaFLOPS supercomputer for AI.
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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker
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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Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda
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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Apple Intelligence is Nothing without AWS
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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How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances
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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Amazon’s Q AI assistant lets users ask questions about their company’s data
NOVEMBER 28, 2023
Amazon Q, currently available for contact centers, will be integrated to other AWS services soon. Amazon’s cloud business AWS launched a chat tool called Amazon Q, where businesses can ask questions specific to their companies. Announced during a keynote speech by AWS CEO Adam Selipsky at AWS …
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets
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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Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models
AWS Machine Learning Blog
SEPTEMBER 15, 2023
In this post, we introduce LLM agents and demonstrate how to build and deploy an e-commerce LLM agent using Amazon SageMaker JumpStart and AWS Lambda. To power the LLM agent, we use a Flan-UL2 model deployed as a SageMaker endpoint and use data retrieval tools built with AWS Lambda.
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Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container
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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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK
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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How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker
AWS Machine Learning Blog
DECEMBER 14, 2023
This is a customer post jointly authored by ICL and AWS employees. Building in-house capabilities through AWS Prototyping Building and maintaining ML solutions for business-critical workloads requires sufficiently skilled staff. Before models can be trained, it’s necessary to generate training data.
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The Future of Search: Exploring Generative AI Chat-Based Solutions with AWS and Slalom
NOVEMBER 17, 2023
In a recent webinar, Slalom and Amazon Web Services (AWS) showcased the incredible potential of chat-based enterprise search powered by AWS generative …
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With Bedrock, Amazon enters the generative AI race
APRIL 13, 2023
But rather than build AI models entirely by itself, it’s recruiting third parties to host models on AWS. AWS today unveiled Amazon Bedrock, which provides a way to build generative AI-powered apps via pretrained models from startups including … Amazon is throwing its hat into the generative AI ring.
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