AWS Machine Learning Blog

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 Blog

OCTOBER 17, 2024

During re:Invent 2023, we launched AWS HealthScribe , a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation. AWS HealthScribe will then output two files which are also stored on Amazon S3.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave your organization vulnerable to potential risks and inefficiencies. Prerequisites For this walkthrough, the following are required: An AWS account. AWS Management Console access. A Python 3.12 environment.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

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AWS Machine Learning Blog

JULY 31, 2024

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. Let’s dive in and explore how these organizations are transforming what’s possible with generative AI on AWS.

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AWS Machine Learning Blog

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. Some applications may need to access data with personal identifiable information (PII) while others may rely on noncritical data.

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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

JULY 3, 2024

To solve this problem, this post shows you how to apply AWS services such as Amazon Bedrock , AWS Step Functions , and Amazon Simple Email Service (Amazon SES) to build a fully-automated multilingual calendar artificial intelligence (AI) assistant. It lets you orchestrate multiple steps in the pipeline.

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AWS Machine Learning Blog

JULY 17, 2024

As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. This allows you to easily identify and reference the underlying information sources that informed the AI’s response, providing more context and enabling further exploration of the topic if needed.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Third, we’ll explore the robust infrastructure services from AWS powering AI innovation, featuring Amazon SageMaker , AWS Trainium , and AWS Inferentia under AI/ML, as well as Compute topics.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning Blog

JULY 30, 2024

Amazon Q Business uses AWS IAM Identity Center to record the workforce users you assign access to and their attributes, such as group associations. IAM Identity Center is used by many AWS managed applications such as Amazon Q. Why use trusted identity propagation? Promotes software design principles rooted in user privacy.

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual data, facilitating more comprehensive and contextual interpretations. AWS Fargate is the compute engine for web application.

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AWS Machine Learning Blog

AUGUST 5, 2024

RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information. Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. client( service_name="bedrock-runtime", region_name="us-east-1" ) Define the model to invoke using its model ID.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3. For more information on managing credentials securely, see the AWS Boto3 documentation.

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AWS Machine Learning Blog

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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Dataconomy

NOVEMBER 27, 2024

Tens of thousands of cloud computing professionals and enthusiasts will gather in Las Vegas for Amazon Web Services’ (AWS) re:Invent 2024 from December 2-6. AWS re:Invent 2024: Generative AI in focus at Las Vegas event Attendees can expect a robust emphasis on generative AI throughout the event, with over 500 sessions planned.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Solution overview The solution constitutes a best-practice Amazon SageMaker domain setup with a configurable list of domain user profiles and a shared SageMaker Studio space using the AWS Cloud Development Kit (AWS CDK). The AWS CDK is a framework for defining cloud infrastructure as code. The AWS CDK installed.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Rocket Mortgage, America’s largest retail mortgage lender, revolutionizes homeownership with Rocket Logic – Synopsis, an AI tool built on AWS. Data security – Protecting sensitive client information throughout the process was a non-negotiable requirement. This post is co-written with Josh Zook and Alex Hamilton from Rocket Mortgage.

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Flipboard

DECEMBER 20, 2024

As part of my re:Invent 2024 Innovation Talk, I shared three data patterns that many of our largest AWS customers have adopted. This article focuses

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AWS Machine Learning Blog

DECEMBER 1, 2024

In this blog post, I will look at what makes physical AWS DeepRacer racing—a real car on a real track—different to racing in the virtual world—a model in a simulated 3D environment. The AWS DeepRacer League is wrapping up. The original AWS DeepRacer, without modifications, has a smaller speed range of about 2 meters per second.

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AWS Machine Learning Blog

DECEMBER 9, 2024

It simplifies the often complex and time-consuming tasks involved in setting up and managing an MLflow environment, allowing ML administrators to quickly establish secure and scalable MLflow environments on AWS. AWS CodeArtifact , which provides a private PyPI repository so that SageMaker can use it to download necessary packages.

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Towards AI

OCTOBER 4, 2024

this article, we will deploy resources on AWS through Terraform and create a CI/CD pipeline on Gitlab to automate the deployment process. You require the following tools for this project: AWS account and a user account — Preferred cloud computing resources provider that offers a free tier. You can follow this tutorial to install it.

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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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Flipboard

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. This can lead to inefficiencies, delays, and errors, diminishing customer satisfaction.

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Flipboard

DECEMBER 15, 2024

Find detailed information about Amazon Bedrock pricing models including on-demand and provisioning throuput with the pricing breakdown for model providers including: AI21 labs, Amazon, Anthropic, Cohere, and Stability AI.

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AWS Machine Learning Blog

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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Flipboard

NOVEMBER 27, 2024

In this post, we show you how to integrate the popular Slack messaging service with AWS generative AI services to build a natural language assistant where business users can ask questions of an unstructured dataset. In this solution, we configure Amazon Bedrock Guardrails with content filters, sensitive information filters, and word filters.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

These indexes enable efficient searching and retrieval of part data and vehicle information, providing quick and accurate results. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information.

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Flipboard

NOVEMBER 28, 2024

According to The Information, the retail giant might be unveiling its flagship LLM at its AWS re:Invent conference next week. Amazon is almost ready to show off its Olympus AI model. The AI model can reportedly analyze images and videos and find specific scenes via text prompts, such as a winning …

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Flipboard

NOVEMBER 22, 2024

We provide additional information later in this post. Solution overview The following diagram illustrates the ML platform reference architecture using various AWS services. For more information about the architecture in detail, refer to Part 1 of this series. We discuss this in more detail later in this post.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Implement a tagging strategy A tag is a label you assign to an AWS resource. The AWS reserved prefix aws: tags provide additional metadata tracked by AWS.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

Additionally, sensitive information filters can be applied to protect personally identifiable information (PII) from being incorporated into generated images. Word filters can be set up to detect and block specific phrases or terms that may lead to undesirable image outputs.

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AWS Machine Learning Blog

JUNE 12, 2024

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. To implement this architecture, we take advantage of AWS Step Functions to build the overall workflow. Choose “t3.small”

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Flipboard

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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