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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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

NOVEMBER 7, 2024

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent. Python 3.9 or later Node.js

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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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Dzone - DevOps

FEBRUARY 5, 2023

Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. So, let’s get started!

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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

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.

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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

MARCH 20, 2025

Users can access these AI capabilities through their organizations single sign-on (SSO), collaborate with team members, and refine AI applications without needing AWS Management Console access. The workflow is as follows: The user logs into SageMaker Unified Studio using their organizations SSO from AWS IAM Identity Center.

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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 text summarization Lambda function is invoked by this new queue containing the extracted text.

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AWS Machine Learning - AI

MARCH 18, 2025

Solution overview: patient reporting and analysis in clinical trials Key AWS services used in this solution include Amazon Simple Storage Service (Amazon S3), AWS HealthScribe , Amazon Transcribe , and Amazon Bedrock. An AWS account. If you dont have one, you can register for a new AWS account. Choose Test. Choose Test.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

We use various AWS services to deploy a complete solution that you can use to interact with an API providing real-time weather information. Amazon Bedrock Agents forwards the details from the user query to the action groups, which further invokes custom Lambda functions. In this solution, we use Amazon Bedrock Agents.

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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

NOVEMBER 21, 2024

We guide you through deploying the necessary infrastructure using AWS CloudFormation , creating an internal labeling workforce, and setting up your first labeling job. This precision helps models learn the fine details that separate natural from artificial-sounding speech. We demonstrate how to use Wavesurfer.js

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AWS Machine Learning - AI

FEBRUARY 26, 2024

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda.

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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. Deploy the AWS CDK project to provision the required resources in your AWS account.

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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. This will help us in investigation.

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AWS Machine Learning - AI

MARCH 13, 2025

AWS AppConfig , a capability of AWS Systems Manager, is used to store each of the agents tool context data as a single configuration in a managed data store, to be sent to the Converse API tool request. For more information about when to use AWS Config, see AWS AppConfig use cases.

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AWS Machine Learning - AI

OCTOBER 11, 2024

It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. Some examples of AWS-sourced operational events include: AWS Health events — Notifications related to AWS service availability, operational issues, or scheduled maintenance that might affect your AWS resources.

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AWS Machine Learning - AI

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 - 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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Dzone - DevOps

MARCH 17, 2023

Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. This blog aims to take a deeper look into the Fargate vs. This blog aims to take a deeper look into the Fargate vs. Lambda battle.

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Dzone - DevOps

APRIL 24, 2023

In 2006, Amazon launched its cloud services platform, Amazon Web Services (AWS) , one of the leading cloud providers to date. Currently, AWS offers over 200 cloud services, including cloud hosting, storage, machine learning, and container management.

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AWS Machine Learning - AI

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

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AWS Machine Learning - AI

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. AWS Prototyping developed an AWS Cloud Development Kit (AWS CDK) stack for deployment following AWS best practices.

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AWS Machine Learning - AI

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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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

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

This post demonstrates how you can use Amazon Bedrock Agents to create an intelligent solution to streamline the resolution of Terraform and AWS CloudFormation code issues through context-aware troubleshooting. This setup makes sure that AWS infrastructure deployments using IaC align with organizational security and compliance measures.

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AWS Machine Learning - AI

MAY 14, 2024

An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF). RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model.

Generative AI 101

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Mentormate

JANUARY 7, 2021

This year’s AWS re:Invent conference was virtual, free, and three weeks long. During multiple keynotes and sessions, AWS announced new services, features, and improvements to existing cloud services like Amazon QuickSight. As an AWS Advanced Consulting partner , MentorMate embraces continuous learning as much as AWS does.

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AWS Machine Learning - AI

MARCH 7, 2024

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

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AWS Machine Learning - AI

FEBRUARY 9, 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. You can deploy the solution in your own account using the AWS CDK.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

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Linux Academy

DECEMBER 5, 2019

The final day of AWS re:Invent, 2019. In our final day at AWS re:Invent, and last overview piece, we’re covering the final keynote in-depth. Overview of Werner Vogels Keynote: The Power of AWS Nitro. Under the hood, AWS continues to innovate and improve the performance of the latest generation of EC2 instances.

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AWS Machine Learning Artificial Inteligence Linux 19

TechCrunch

APRIL 15, 2021

As companies create machine learning models, the operations team needs to ensure the data used for the model is of sufficient quality, a process that can be time consuming. Why AWS is building tiny AI race cars to teach machine learning. Toro snags $4M seed investment to monitor data quality.

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AWS Machine Learning - AI

MARCH 20, 2025

Our partnership with AWS and our commitment to be early adopters of innovative technologies like Amazon Bedrock underscore our dedication to making advanced HCM technology accessible for businesses of any size. We are thrilled to partner with AWS on this groundbreaking generative AI project. John Canada, VP of Engineering at Asure.

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