AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API. These components are illustrated in the following diagram.

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AWS Machine Learning - AI

APRIL 9, 2025

Implementation of dynamic routing In this section, we explore different approaches to implementing dynamic routing on AWS, covering both built-in routing features and custom solutions that you can use as a starting point to build your own. Virginia) AWS Region and receives 50,000 history questions and 50,000 math questions per day.

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AWS Machine Learning - AI

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 - AI

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 - 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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Generative AI AWS Groups Artificial Inteligence 113

TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

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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 Cloud Network Compliance 105

Dzone - DevOps

MARCH 28, 2025

With rapid progress in the fields of machine learning (ML) and artificial intelligence (AI), it is important to deploy the AI/ML model efficiently in production environments. The architecture downstream ensures scalability, cost efficiency, and real-time access to applications.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3. If enabled, its status will display as Access granted.

AWS 113

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AWS Machine Learning - AI

NOVEMBER 26, 2024

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. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

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AWS Machine Learning - AI

APRIL 1, 2025

invoke(input_text=Convert 11am from NYC time to London time) We showcase an example of building an agent to understand your Amazon Web Service (AWS) spend by connecting to AWS Cost Explorer , Amazon CloudWatch , and Perplexity AI through MCP. This gives you an AI agent that can transform the way you manage your AWS spend.

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CIO

JUNE 11, 2024

With a shortage of IT workers with AI skills looming, Amazon Web Services (AWS) is offering two new certifications to help enterprises building AI applications on its platform to find the necessary talent. Candidates for this certification can sign up for an AWS Skill Builder subscription to check three new courses exploring various concepts.

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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

NOVEMBER 6, 2024

Prerequisites Before you dive into the integration process, make sure you have the following prerequisites in place: AWS account – You’ll need an AWS account to access and use Amazon Bedrock. You can interact with Amazon Bedrock using AWS SDKs available in Python, Java, Node.js, and more.

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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

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.

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Artificial Inteligence AWS Technical Review Policies 111

CIO

SEPTEMBER 10, 2024

In continuation of its efforts to help enterprises migrate to the cloud, Oracle said it is partnering with Amazon Web Services (AWS) to offer database services on the latter’s infrastructure. Oracle Database@AWS is expected to be available in preview later in the year with broader availability expected in 2025.

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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. About the authors James Park is a Solutions Architect at Amazon Web Services.

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Artificial Inteligence Microservices Generative AI AWS 101

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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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

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. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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AWS Machine Learning - AI

APRIL 10, 2025

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

Training 107

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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

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.

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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

NOVEMBER 1, 2024

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. By assigning AWS cost allocation tags, the organization can effectively monitor and track their Bedrock spend patterns.

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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

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.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Prerequisites Before implementing the new capabilities, make sure that you have the following: An AWS account In Amazon Bedrock: Create and test your base prompts for customer service interactions in Prompt Management.

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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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Xebia

FEBRUARY 28, 2025

… that is not an awful lot. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production? First let’s throw in a statistic. What a waste!

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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.

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Generative AI Technical Advisors Insurance Weak Development Team 183

CIO

MAY 29, 2024

SAP is expanding its AI ecosystem with a partnership with AWS. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.

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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

OCTOBER 16, 2024

DPG Media chose Amazon Transcribe for its ease of transcription and low maintenance, with the added benefit of incremental improvements by AWS over the years. The flexibility to experiment with multiple models was appreciated, and there are plans to try out Anthropic Claude Opus when it becomes available in their desired AWS Region.

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