AWS Machine Learning - AI

FEBRUARY 11, 2025

The Amazon Q Business pre-built connectors like Amazon Simple Storage Service (Amazon S3), document retrievers, and upload capabilities streamlined data ingestion and processing, enabling the team to provide swift, accurate responses to both basic and advanced customer queries.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. The following diagram illustrates the architecture of the application.

Generative AI 129

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AWS Machine Learning - AI

NOVEMBER 21, 2024

At its core, Amazon Simple Storage Service (Amazon S3) serves as the secure storage for input files, manifest files, annotation outputs, and the web UI components. The following diagram illustrates the solution architecture. On the SageMaker console, choose Create labeling job. Give your job a name.

Video 95

Video Lambda AWS Generative AI 95

AWS Machine Learning - AI

OCTOBER 29, 2024

Flexible logging –You can use this solution to store logs either locally or in Amazon Simple Storage Service (Amazon S3) using Amazon Data Firehose, enabling integration with existing monitoring infrastructure. Additionally, you can choose what gets logged. versions, catering to different programming preferences.

Generative AI 110

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AWS Machine Learning - AI

AUGUST 13, 2024

Solution overview To provide a high-level understanding of how the solution works before diving deeper into the specific elements and the services used, we discuss the architectural steps required to build our solution on AWS. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 130

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AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. Solution overview Before we explore the deployment process, let’s walk through the key steps of the architecture as illustrated in Figure 1.

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Perficient

MARCH 27, 2025

The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer. Storage: S3 for static content and RDS for a managed database. In this architecture, Pulumi interacts with AWS to deploy multiple services. Components in the architecture.

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AWS Machine Learning - AI

APRIL 18, 2024

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Solution overview Before we dive into the deployment process, lets walk through the key steps of the architecture as illustrated in the following figure. This function invokes another Lambda function (see the following Lambda function code ) which retrieves the latest error message from the specified Terraform Cloud workspace.

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AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 137

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AWS Machine Learning - AI

FEBRUARY 9, 2024

API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods. In this post, we show you how to build an internal SaaS layer to access foundation models with Amazon Bedrock in a multi-tenant (team) architecture.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Architecture The following figure shows the architecture of the solution. The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location.

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Artificial Inteligence Generative AI Travel AWS 109

AWS Machine Learning - AI

MARCH 18, 2025

Data consolidation The transcribed patient reports are consolidated into a structured database, enabling efficient storage, retrieval, and analysis. Solution overview The following diagram illustrates the solution architecture. Copying these sample files will trigger an S3 event invoking the AWS Lambda function audio-to-text.

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Artificial Inteligence Technical Review Healthcare Systems Review 83

AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. Amazon SQS enables a fault-tolerant decoupled architecture. It captures the message ID returned by Amazon SQS.

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AWS Machine Learning - AI

MARCH 13, 2025

The Lambda function spins up an Amazon Bedrock batch processing endpoint and passes the S3 file location. The second Lambda function performs the following tasks: It monitors the batch processing job on Amazon Bedrock. The security measures are inherently integrated into the AWS services employed in this architecture.

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AWS Machine Learning - AI

MARCH 15, 2024

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. Solution overview The following diagram illustrates our solution architecture. This can be done with a Lambda layer or by using a specific AMI with the required libraries. awscli>=1.29.57

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AWS Machine Learning - AI

APRIL 24, 2024

This is done using ReAct prompting, which breaks down the task into a series of steps that are processed sequentially: For device metrics checks, we use the check-device-metrics action group, which involves an API call to Lambda functions that then query Amazon Athena for the requested data. It serves as the data source to the knowledge base.

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CIO

NOVEMBER 2, 2023

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 211

Strategy Cloud Data Center Budget 211

RapidValue

JANUARY 5, 2020

One such service is their serverless computing service , AWS Lambda. For the uninitiated, Lambda is an event-driven serverless computing platform that lets you run code without managing or provisioning servers and involves zero administration. How does AWS Lambda Work. Why use AWS Lambda? Read on to know. zip or jar.

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AWS Machine Learning - AI

MARCH 7, 2024

The following diagram provides a simplified view of the solution architecture and highlights the key elements. The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application. Invokes the Amazon Bedrock InvokeModel API action.

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AWS Machine Learning - AI

AUGUST 21, 2024

The following reference architecture illustrates what an automated review analysis solution could look like. The architecture carries out the following steps: Customer reviews can be imported into an Amazon Simple Storage Service (Amazon S3) bucket as JSON objects. Review Lambda quotas and function timeout to create batches.

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AWS Machine Learning - AI

SEPTEMBER 18, 2024

Integrating it with the range of AWS serverless computing, networking, and content delivery services like AWS Lambda , Amazon API Gateway , and AWS Amplify facilitates the creation of an interactive tool to generate dynamic, responsive, and adaptive logos. Solution overview The following diagram illustrates the solution architecture.

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Mike Roberts

NOVEMBER 16, 2017

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Lambda will horizontally scale precisely when we need it to a massive extent.

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Dzone - DevOps

MAY 1, 2023

This was not only about rewriting applications, but the backend data stores were also redesigned in terms of dynamic scalability , high performance, and flexibility for event-driven architecture.

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AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. The following diagram illustrates the solution architecture.

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Generative AI Technical Review Insurance Policies 76

Dzone - DevOps

FEBRUARY 10, 2023

One of the teams I recently supported was using Amazon ElasticCache for Redis as a storage/caching layer for their primary workload. Initial Architecture The team built a REST-based service by using API Gateway, AWS Lambda, and Amazon ElastiCache for Redis. In this article, I will share some of the lessons learned.

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Xebia

JANUARY 19, 2023

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. The best data engineers view their responsibilities through business and technical lenses.

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Data Engineering Engineering Data Technical Review 130

AWS Machine Learning - AI

MAY 14, 2024

We provide LangChain and AWS SDK code-snippets, architecture and discussions to guide you on this important topic. The following diagram illustrates the solution architecture and workflow. Pre-annotation Lambda function The process starts with an AWS Lambda function. Here, we use the on-demand option.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. Navigate to the lambdalayer folder.

Knowledge Base 123

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Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda.

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AWS Machine Learning - AI

APRIL 11, 2024

The following architecture diagram illustrates how you can use the Amazon Titan Multimodal Embeddings model with documents in an Amazon Simple Storage Service (Amazon S3) bucket for image gallery creation. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

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AWS Machine Learning - AI

JULY 15, 2024

The raw photos are stored in Amazon Simple Storage Service (Amazon S3). Aurora MySQL serves as the primary relational data storage solution for tracking and recording media file upload sessions and their accompanying metadata. S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves.

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AWS Machine Learning - AI

JULY 3, 2024

Image 1: High-level overview of the AI-assistant and its different components Architecture The overall architecture and the main steps in the content creation process are illustrated in Image 2. Amazon Lambda : to run the backend code, which encompasses the generative logic. Amazon Translate : for content translation.

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Artificial Inteligence Generative AI Lambda Healthcare 128

AWS Machine Learning - AI

AUGUST 26, 2024

In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos. The following diagram shows a high-level overview of the architecture. Users upload audio, video, or text to the S3 bucket using the AWS SDK through the web app.

Generative AI 120

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AWS Machine Learning - AI

JULY 2, 2024

The following diagram illustrates the solution architecture. Figure 1: Solution architecture The workflow for the solution is as follows: The doctor interacts with the Streamlit frontend, which serves as the application interface. The request includes the doctor’s ID, a list of patient IDs to filter by, and the text query.

Knowledge Base 129

Knowledge Base Artificial Inteligence Lambda Authentication 129

AWS Machine Learning - AI

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels. create-stack.sh

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AWS Machine Learning - AI

MAY 15, 2024

In this blog post, we describe the architectural and operational details of how Amazon Ads implemented its generative AI-powered image creation solution on AWS. Next, we present the solution architecture and process flows for machine learning (ML) model building, deployment, and inferencing.

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