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.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Solution overview The solution presented in this post responds automatically to email inquiries using the following solution architecture. Amazon S3 invokes an AWS Lambda function to synchronize the data source with the knowledge base. The Lambda function starts data ingestion by calling the StartIngestionJob API function.

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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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Xebia

SEPTEMBER 24, 2024

Below architecture explains how we can monitor these services Event Flow : I have created EventRule that gets triggered as soon as if any one of the Security services get deactivated/disabled/deleted. Event rule target is Lambda function, that extract details from corresponding event. This will help us in investigation.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Solution overview This section outlines the architecture designed for an email support system using generative AI. The following diagram provides a detailed view of the architecture to enhance email support using generative AI. Refer to the GitHub repository for deployment instructions.

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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

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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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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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

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Shared components refer to the functionality and features shared by all tenants. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

The Step Functions state machine invokes AWS Lambda functions to get a findings summary and remediation steps through Amazon Bedrock. The workflow invokes a Lambda function and passes the GuardDuty findings details. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The WebSocket triggers an AWS Lambda function, which creates a record in Amazon DynamoDB. Another Lambda function gets triggered with a new message in the SQS queue.

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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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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. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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Perficient

AUGUST 8, 2024

For more info, please refer to AWS documentation: [link] Fig: Distributed Load Testing on AWS architecture Learn more about DLT and AWS architecture. Reference : [link] Step 1: Create a CloudFormation stack for the DLT web console so users can access the dashboard and perform load tests.

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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. For instructions, refer to Install the AWS SAM CLI. Amplify CLI – Install the Amplify CLI.

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AWS Machine Learning - AI

OCTOBER 21, 2024

We use AWS Amplify , Amazon Cognito , Amazon API Gateway , AWS Lambda , and Amazon Bedrock with the Amazon Titan Image Generator G1 model to build an application to edit images using prompts. The architecture uses Amazon Cognito for user authentication and Amplify as the hosting environment for our frontend application.

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Bernd Rucker

MAY 14, 2020

Powerful Serverless Function Orchestration using BPMN and Cloud-Native Workflow Technology Assume you want to coordinate multiple Lambdas to achieve a bigger goal. and how you can use BPMN and Camunda Cloud to orchestrate these three AWS Lambdas and provide an additional trip booking Lambda. Refer to the docs for details.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The following diagram illustrates an example solution architecture using AWS services. An AWS Lambda function is invoked when new documents are added to the Amazon Simple Storage Service (Amazon S3) bucket. An AWS Lambda function is invoked when new documents are added to the Amazon Simple Storage Service (Amazon S3) bucket.

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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.

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AWS Machine Learning - AI

OCTOBER 15, 2024

Overview of solution Before we dive deep into the deployment, let’s walk through the key steps of the architecture that will be established, as shown in Figure 1. An AWS account with the appropriate IAM permissions to create Amazon Bedrock agents and knowledge bases, Lambda functions, and IAM roles. Access to Amazon Bedrock models.

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Xebia

MAY 21, 2024

Modernizing on AWS refers to migrating and transforming traditional applications, workloads, and infrastructure to leverage the benefits of cloud computing and AWS services. Adoption of Cloud-Native Technologies: Companies embrace cloud-native technologies such as containers, serverless computing, and microservices architecture.

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AWS Machine Learning - AI

MAY 17, 2024

The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events. The second task then asks the LLM to compare the generated response to the reference response using the rules and generate an evaluation score.

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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 DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow invokes a Lambda function to generate a status report. height – The height of the image in pixels.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

Understanding the intrinsic value of data network effects, Vidmob constructed a product and operational system architecture designed to be the industry’s most comprehensive RLHF solution for marketing creatives. Solution overview The AWS team worked with Vidmob to build a serverless architecture for handling incoming questions from customers.

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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. For more information, refer to Model access.

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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 112

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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. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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Xebia

AUGUST 29, 2023

A target group can refer to Instances, IP addresses, a Lambda function or an Application Load Balancer. It is also possible to refer to an Auto Scaling Group and automatically add or remove instances as it scales. In a well-architected microservice architecture, there is a good chance this is true. The answer is: maybe.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

If required, the agent invokes one of two Lambda functions to perform a web search: SerpAPI for up-to-date events or Tavily AI for web research-heavy questions. The Lambda function retrieves the API secrets securely from Secrets Manager, calls the appropriate search API, and processes the results.

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Modus Create

MAY 15, 2023

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Serverless architecture’s popularity has risen over the past 5 years. So here are five questions you should ask before adopting the serverless architecture: 1. Was serverless really cloud 2.0

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Xebia

OCTOBER 23, 2024

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. ClouDNS Documentation : Refer to the official ClouDNS documentation for detailed insights into their DNS hosting services and configurations.

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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.

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Sunflower Lab

APRIL 12, 2018

Benefits of microservices architecture and business value it delivers to organizations planning to embrace enterprise agility through automated processes. The microservice architecture helps to reduce development complexity. There are several other benefits of using microservices architecture. Architecture is goal-oriented.

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Lacework

MARCH 31, 2022

For scaling a deployment like this, please reference the latest documentation for AWS Firewall Manager available here. . To begin, let’s create a Lambda function to fetch a URL feed of malicious domains. This data can be easily parsed and created into a Lambda function. Walk – Automating Malicious Domain Collection.

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AWS Machine Learning - AI

OCTOBER 7, 2024

By harnessing the power of generative AI and Amazon Web Services (AWS) services Amazon Bedrock , Amazon Kendra , and Amazon Lex , this solution provides a sample architecture to build an intelligent Slack chat assistant that can streamline information access, enhance user experiences, and drive productivity and efficiency within organizations.

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AWS Machine Learning - AI

OCTOBER 14, 2024

In this post, the term region doesn’t refer to an AWS Region , but rather to a business-defined region. The application architecture for building the example chat-based Generative AI Claims application with fine-grained access controls is shown in the following diagram.

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