AWS Machine Learning - AI

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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Prisma Clud

NOVEMBER 22, 2024

Organizations are increasingly turning to cloud providers, like Amazon Web Services (AWS), to address these challenges and power their digital transformation initiatives. However, the vastness of AWS environments and the ease of spinning up new resources and services can lead to cloud sprawl and ongoing security risks.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment.

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AWS Machine Learning - AI

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. You can find him on LinkedIn.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. Organizations can now label all Amazon Bedrock models with AWS cost allocation tags , aligning usage to specific organizational taxonomies such as cost centers, business units, and applications.

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AWS Machine Learning - AI

APRIL 1, 2025

AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. Cross-instance Import and Export Enabling straightforward and self-service migration of App Studio applications across AWS Regions and AWS accounts.

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AWS Machine Learning - AI

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. Deploy vLLM on AWS Trainium and Inferentia EC2 instances In these sections, you will be guided through using vLLM on an AWS Inferentia EC2 instance to deploy Meta’s newest Llama 3.2 You will use inf2.xlarge

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

Generative AI 109

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AWS Machine Learning - AI

APRIL 10, 2025

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations.

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CIO

APRIL 25, 2025

AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics. As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

About the Authors Isha Dua is a Senior Solutions Architect based in the San Francisco Bay Area working with GENAI Model providers and helping customer optimize their GENAI workloads on AWS. She’s passionate about machine learning technologies and environmental sustainability.

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AWS Machine Learning - AI

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. With its growing feature set, TorchServe is a popular choice for deploying and scaling machine learning models among inference customers.

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CIO

MARCH 20, 2025

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

Artificial Inteligence 139

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Dzone - DevOps

APRIL 9, 2025

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. By abstracting the complexities of infrastructure, AWS enables teams to focus on innovation. Why Combine AI, ML, and Serverless Computing?

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Serverless Artificial Inteligence Scalability AWS 52

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider. The biggest challenge is data.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This solution uses decorators in your application code to capture and log metadata such as input prompts, output results, run time, and custom metadata, offering enhanced security, ease of use, flexibility, and integration with native AWS services.

Generative AI 109

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AWS Machine Learning - AI

MARCH 14, 2025

The computer use agent demo powered by Amazon Bedrock Agents provides the following benefits: Secure execution environment Execution of computer use tools in a sandbox environment with limited access to the AWS ecosystem and the web. Prerequisites AWS Command Line Interface (CLI), follow instructions here. Require Python 3.11

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AWS Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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AWS Machine Learning - AI

MARCH 27, 2025

Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability. We provide practical examples for both SCP modifications and AWS Control Tower implementations.

Artificial Inteligence 112

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services.

Artificial Inteligence 109

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AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media.

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AWS Machine Learning - AI

MARCH 26, 2025

Use the us-west-2 AWS Region to run this demo. Prerequisites This notebook is designed to run on AWS, using Amazon Bedrock for both Anthropics Claude 3 Sonnet and Stability AI model access. Make sure you have the following set up before moving forward: An AWS account. An Amazon SageMaker domain. Access to Stability AIs SD3.5

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AWS Machine Learning - AI

NOVEMBER 6, 2024

The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure. The CCoE implemented AWS Organizations across a substantial number of business units.

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Generative AI Government Technical Review Innovation 107

AWS Machine Learning - AI

APRIL 29, 2025

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. Post-authentication, users access the UI Layer, a gateway to the Red Teaming Playground built on AWS Amplify and React.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider. The biggest challenge is data.

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. You can monitor costs with AWS Cost Explorer.

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AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

Data 112

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AWS Machine Learning - AI

APRIL 10, 2025

With this launch, you can now access Mistrals frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS. AWS is the first major cloud provider to deliver Pixtral Large as a fully managed, serverless model. Take a look at the Mistral-on-AWS repo.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. This tutorial assumes you have the necessary AWS Identity and Access Management (IAM) permissions. or later on your local machine. Install Python 3.7

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AWS Machine Learning - AI

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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Artificial Inteligence Machine Learning AWS Generative AI 95

AWS Machine Learning - AI

NOVEMBER 7, 2024

Developer tools The solution also uses the following developer tools: AWS Powertools for Lambda – This is a suite of utilities for Lambda functions that generates OpenAPI schemas from your Lambda function code. After deployment, the AWS CDK CLI will output the web application URL. Python 3.9 or later Node.js

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AWS Machine Learning - AI

JANUARY 13, 2025

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The extracted text data is placed into another SQS queue for the next processing step.

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Education Report Technical Review Generative AI 103

AWS Machine Learning - AI

MARCH 3, 2025

These recipes include a training stack validated by Amazon Web Services (AWS) , which removes the tedious work of experimenting with different model configurations, minimizing the time it takes for iterative evaluation and testing. You can run these recipes using SageMaker HyperPod or as SageMaker training jobs.

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AWS Machine Learning - AI

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

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AWS Machine Learning - AI

MARCH 13, 2025

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. GenAI Data Scientist at AWS. Model Base Model Download DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

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