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

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. For more information on how to view and increase your quotas, refer to Amazon EC2 service quotas.

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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 14, 2024

Large Medium – This refers to the material or technique used in creating the artwork. This might involve incorporating additional data such as reference images or rough sketches as conditioning inputs alongside your text prompts. You can provide extensive details, such as the gender of a character, their clothing, and the setting.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Access to your selected models hosted on Amazon Bedrock.

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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

APRIL 10, 2025

Model customization refers to adapting a pre-trained language model to better fit specific tasks, domains, or datasets. 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.

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AWS Machine Learning - AI

MARCH 3, 2025

Response latency refers to the time between the user finishing their speech and beginning to hear the AI assistants response. AWS Local Zones are a type of edge infrastructure deployment that places select AWS services close to large population and industry centers. Next, create a subnet inside each Local Zone.

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AWS Machine Learning - AI

JANUARY 13, 2025

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. For more on MuleSofts journey to cloud computing, refer to Why a Cloud Operating Model?

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AWS Machine Learning - AI

NOVEMBER 6, 2024

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.

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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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TechCrunch

OCTOBER 28, 2021

For the unacquainted, Web3 refers to a set of protocols led by blockchain, that intends to reinvent how the Internet is wired in the backend). Put simply, Alchemy wants to do for blockchain and Web3 what AWS (Amazon Web Services) did for the internet. ?? Alchemy raises $80M at a $505M valuation to be the ‘AWS for blockchain’.

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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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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. Additionally, Pixtral Large supports the Converse API and tool usage.

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AWS Machine Learning - AI

OCTOBER 11, 2024

It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account.

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AWS Machine Learning - AI

OCTOBER 31, 2024

The web application that the user uses to retrieve answers is connected to an identity provider (IdP) or AWS IAM Identity Center. The user’s credentials from the IdP or IAM Identity Center are referred to here as the federated user credentials. Refer to How Amazon Q Business connector crawls Gmail ACLs for more information.

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AWS Machine Learning - AI

NOVEMBER 12, 2024

You may check out additional reference notebooks on aws-samples for how to use Meta’s Llama models hosted on Amazon Bedrock. You can implement these steps either from the AWS Management Console or using the latest version of the AWS Command Line Interface (AWS CLI). 0 means not expensive, 1 means expensive.

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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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Perficient

FEBRUARY 25, 2025

The Systems Manager (SSM) streamlines managing Windows instances in AWS. Instead of taking a backup, creating a new instance, and reconfiguring the environmentwhich is time-consuming and impacts business operationswe leverage AWS Systems Manager (SSM) to efficiently recover access without disruption.

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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 16, 2024

To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith. 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.

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AWS Machine Learning - AI

APRIL 16, 2025

Why LoRAX for LoRA deployment on AWS? The surge in popularity of fine-tuning LLMs has given rise to multiple inference container methods for deploying LoRA adapters on AWS. Prerequisites For this guide, you need access to the following prerequisites: An AWS account Proper permissions to deploy EC2 G6 instances.

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AWS Machine Learning - AI

DECEMBER 19, 2024

If you dont have an existing application, you can create an application integrated with AWS IAM Identity Center or AWS Identity and Access Management (IAM) identity federation. You can find your web experience ID with the list-web-experiences AWS CLI command. Amazon Q Business hosts the web experience on an AWS domain.

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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 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. If you’re new to Amazon EC2, refer to the Amazon EC2 User Guide.

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Perficient

MARCH 11, 2025

AWS CloudFormation, a key service in the AWS ecosystem, simplifies IaC by allowing users to easily model and set up AWS resources. This blog explores the best practices for utilizing AWS CloudFormation to achieve reliable, secure, and efficient infrastructure management. Why Use AWS CloudFormation? Example: 3.

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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

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. In this post, we use IAM Identity Center as the SAML 2.0-aligned

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. Then we introduce the solution deployment using three AWS CloudFormation templates.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

For a comprehensive overview of metadata filtering and its benefits, refer to Amazon Bedrock Knowledge Bases now supports metadata filtering to improve retrieval accuracy. Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Refer to the GitHub repository for deployment instructions.

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Xebia

AUGUST 29, 2023

How does High-Performance Computing on AWS differ from regular computing? HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. AWS has two services to support your HPC workload.

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AWS Machine Learning - AI

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS.

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Xebia

SEPTEMBER 24, 2024

AWS offers a range of security services like AWS Security Hub, AWS GuardDuty, Amazon Inspector, Amazon Macie etc. This post will dive into how we can monitor these AWS Security services and build a layered security approach, emphasizing the importance of both prevention and detection.

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AWS Machine Learning - AI

APRIL 10, 2025

The time taken to determine the root cause is referred to as mean time to detect (MTTD). 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.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

At AWS, we are committed to developing AI responsibly , taking a people-centric approach that prioritizes education, science, and our customers, integrating responsible AI across the end-to-end AI lifecycle. For human-in-the-loop evaluation, which can be done by either AWS managed or customer managed teams, you must bring your own dataset.

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