AWS Machine Learning Blog

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Using SageMaker in conjunction with various AWS services has given us many advantages in developing and operating our services.

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AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process. We also provide an accompanying GitHub repo if you want to deploy and try this yourself. Labeling jobs are used to manage labeling workflows.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Model training was accelerated by 50% through the use of the SMDDP library, which includes optimized communication algorithms designed specifically for AWS infrastructure. For SageMaker distributed training, the instances need to be in the same AWS Region and Availability Zone. days in AWS vs. 9 days on their legacy platform).

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

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AWS Machine Learning Blog

DECEMBER 13, 2023

The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit , AWS CodePipeline , and AWS CodeBuild. An AWS account.

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AWS Machine Learning Blog

APRIL 8, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. You can query using either the AWS Management Console or SDK. Virginia) and US West (Oregon).

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AWS Machine Learning Blog

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify. Choose Deploy.

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AWS Machine Learning Blog

JUNE 8, 2023

AWS Deep Learning Containers already provides pre-built Docker images for training and serving models in common frameworks such as TensorFlow, PyTorch, and MXNet. An active AWS account with administrator permissions. An environment with the AWS Command Line Interface (AWS CLI) and Docker installed.

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AWS Machine Learning Blog

APRIL 22, 2024

To solve this pain point, we can use Lightweight Directory Access Protocol (LDAP) and LDAP over TLS/SSL (LDAPS) to integrate with a directory service such as AWS Directory Service for Microsoft Active Directory. In this solution, HyperPod cluster instances use the LDAPS protocol to connect to the AWS Managed Microsoft AD via an NLB.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon OpenSearch Service is a fully managed service that makes it straightforward to deploy, scale, and operate OpenSearch in the AWS Cloud. Prerequisites You should have the following prerequisites: An AWS account. An AWS Identity and Access Management (IAM) role with appropriate access permissions. If you specify 0.0,

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AWS Machine Learning Blog

APRIL 11, 2023

The code for this blog can be found in this GitHub repository. Once the app is running, the user can initiate a separate session through the AWS Jupyter Proxy by adjusting the URL. From a security aspect, the AWS Jupyter Proxy is extended by AWS authentication. A user first accesses Studio through the browser.

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AWS Machine Learning Blog

JULY 5, 2023

This service can be used by chatbots, audio books, and other text-to-speech applications in conjunction with other AWS AI or machine learning (ML) services. This calls an API (3) through Amazon API Gateway , to invoke an AWS Lambda function (4). The HTML audio tag is used for this purpose).

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AWS Machine Learning Blog

MAY 5, 2023

For example, searching for the terms “How to orchestrate ETL pipeline” returns results of architecture diagrams built with AWS Glue and AWS Step Functions. The solution applies Amazon Rekognition Custom Labels to detect AWS service logos on architecture diagrams to allow the architecture diagrams to be searchable with service names.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Based on the configuration of the Drupal connector, you can synchronize the connector to crawl and index different types of Drupal content such as blogs and wikis. Basic knowledge of AWS and working knowledge of Drupal administration. We will store the administrator user name and password in AWS Secrets Manager.

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AWS Machine Learning Blog

MAY 25, 2023

We use a combination of different AWS services, open-source foundation models ( FLAN-T5 XXL for text generation and GPT-j-6B for embeddings) and packages such as LangChain for interfacing with all the components and Streamlit for building the bot frontend. AWS Identity and Access Management roles and policies for access management.

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AWS Machine Learning Blog

JULY 25, 2023

These FMs can perform a wide range of tasks that span multiple domains, like writing blog posts, generating images, solving math problems, engaging in dialog, and answering questions based on a document. Prerequisites To follow along with this post, you need the following: Access to an AWS account. By default, it opens the Deploy tab.

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AWS Machine Learning Blog

MARCH 15, 2024

In addition to Amazon Bedrock, you can use other AWS services like Amazon SageMaker JumpStart and Amazon Lex to create fully automated and easily adaptable generative AI order processing agents. In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda.

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AWS Machine Learning Blog

MAY 18, 2023

An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. Configure optional encryption settings and tags. Enter optional tags. To learn more about AWS Secrets Manger , refer to Getting started with Secrets Manager. Choose Create a new role.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Use the “Generative AI” tag as you are browsing the session catalog to find them. are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. And last but not least (and always fun!)

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Mlearning.ai

FEBRUARY 6, 2023

Use SageMaker Processing Jobs to easily run inference on your large Dataset with Hugging Face’s Transformer Models Photo by Alex Kulikov on Unsplash This blog will give you a complete walk through of running a distributed batch inference on large data in production. We’ll be using Amazon Sagemaker, a fully managed machine learning service.

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AWS Machine Learning Blog

JULY 3, 2023

PDF Translate – An open-source library written in Java and published on AWS Samples in GitHub. Amazon Translate allows tag modifications, which allows you to specify what text should not be translated. The source and translated PDF documents can also be found in the AWS Samples GitHub repo.

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AWS Machine Learning Blog

OCTOBER 11, 2023

The solution consists of the following steps: Choose an authentication mechanism for the website (if required) and store the details in AWS Secrets Manager. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. Create an Amazon Kendra index.

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AWS Machine Learning Blog

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. It allows users to quickly and easily find the images they need without having to manually tag or categorize them. This means you can manipulate and ingest your data as needed.

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AWS Machine Learning Blog

MARCH 6, 2024

save_to_disk(test_s3_uri) Create a training script SageMaker script mode allows you to run your custom training code in optimized machine learning (ML) framework containers managed by AWS. Clean up If you’re following along in your own AWS account, delete the any real-time inference endpoints and data you created to avoid further charges.

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AWS Machine Learning Blog

MARCH 13, 2024

In this post, we introduce solutions that enable audio and text chat moderation using various AWS services, including Amazon Transcribe , Amazon Comprehend , Amazon Bedrock , and Amazon OpenSearch Service. You will find the chat message in tag, and find the policy in the tag. Respond in the tag with either 'Y' or 'N'.

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AWS Machine Learning Blog

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

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AWS Machine Learning Blog

APRIL 24, 2024

First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. Also provide the reason to give this score inside of tags. About the Author Yunfei Bai is a Senior Solutions Architect at AWS. based on how well the machine answer matches the reference answer.

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AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. Although articles of clothing are labeled with categories (and subcategories) and contain a variety of helpful tags that are extracted from the original product descriptions, the data is not systematically labeled with pattern or style information.

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AWS Machine Learning Blog

APRIL 18, 2023

An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Configure optional encryption settings and tags Choose Next In the Configure user access control section, select Yes under Access control settings. data source. Enter an optional description. Choose Create a new role.

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Data Science Blog

JUNE 21, 2023

Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options. Tools like Process Science , ProM , and Disco provide comprehensive process mining capabilities without the hefty price tag.

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Towards AI

MARCH 3, 2024

So, In this blog, we’ll demystify CI/CD, explore its role in data science, and discover how it can elevate your projects to new heights. Deploy the Docker image to your production environment (here Render, can be GCP, AWS, AZURE instance). They make sure your models are ready for action without you lifting a finger.

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AWS Machine Learning Blog

AUGUST 4, 2023

The following steps give an overview of how to use the new capabilities launched in SageMaker for Salesforce to enable the overall integration: Set up the Amazon SageMaker Studio domain and OAuth between Salesforce and the AWS account s. Select Other type of secret. Save the secret and note the ARN of the secret.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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AWS Machine Learning Blog

MAY 15, 2024

We cover the technical implementation using the Anthropic Claude large language model (LLM) on Amazon Bedrock and AWS Lambda deployed with the AWS Serverless Application Model (AWS SAM). It uses AWS serverless technologies, allowing you build and run your application without having to manage your own servers.

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AWS Machine Learning Blog

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The data scientist is responsible for moving the code into SageMaker, either manually or by cloning it from a code repository such as AWS CodeCommit.

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AWS Machine Learning Blog

APRIL 17, 2024

Despite the availability of advanced distributed training libraries, it’s common for training and inference jobs to need hundreds of accelerators (GPUs or purpose-built ML chips such as AWS Trainium and AWS Inferentia ), and therefore tens or hundreds of instances. or later NPM version 10.0.0 or later NPM version 10.0.0

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