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

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

NOVEMBER 26, 2024

In this architecture, examples of cache miss and hit are shown in red and green, respectively. The Lambda function, acting as the cache manager, prompts an LLM for a new generation due to a lack of cache hits given the similarity threshold. For a complete list of text generation models, refer to Amazon Bedrock. Default is 1000.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

The Amazon Bedrock agent forwards the details to an action group that invokes a Lambda function. Upon completion, the action group (Lambda function) sends the information back to the Amazon Bedrock agent, which then displays the status to the user. This gives your agent access to required services, such as Lambda.

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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

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

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

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

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

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

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

FEBRUARY 11, 2025

Solution overview The following architecture diagram represents the high-level design of a solution proven effective in production environments for AWS Support Engineering. The following diagram illustrates an example architecture for ingesting data through an endpoint interfacing with a large corpus.

Knowledge Base 92

Knowledge Base Lambda Enterprise AWS 92

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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Lambda Software Review AWS Serverless 52

Honeycomb

MARCH 5, 2024

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add OTel and Honeycomb environment variables to your template configuration for your Lambda.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

The newly announced Amazon Titan Image Generator G1 v2 expands its initial version by allowing you to guide image creation using reference images, edit existing visuals, remove backgrounds, generate image variations, and securely customize the model to maintain brand style and subject consistency. Anthropic Claude 3.5 Anthropic’s Claude 3.5

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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

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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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 27, 2024

Custom orchestrator overview Implemented by users as an AWS Lambda function, the Amazon Bedrock Agents custom orchestrator offers granular control over task planning, completion, and verification. After a custom orchestrator is created, it can be reused across multiple agents by updating a single reference when configuring new agents.

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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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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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Stackery

APRIL 11, 2019

Lately, I’ve seen some talk about an architectural pattern that I believe will become prevalent in the near future. It will scale just fine… unless you hit your account-wide Lambda limit. 6.10, which is approaching EOL for AWS Lambda? I then sift through all this data to identify patterns and trends. What if that’s Node.js

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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

FEBRUARY 11, 2025

Additionally, we use various AWS services, including AWS Amplify for hosting the front end, AWS Lambda functions for handling request logic, Amazon Cognito for user authentication, and AWS Identity and Access Management (IAM) for controlling access to the agent. The function uses a geocoding service or database to perform this lookup.

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Stackery

AUGUST 11, 2020

Serverless + JAMstack is where web app architectures are going. Our secure delivery platform is used to ship Lambda functions, HTTP Gateways, Aurora database clusters, and many more services which you can view usage of in Anna’s blog on the topic. Stackery is focused on helping developers leverage the power of AWS managed services.

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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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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.

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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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Knowledge Base Generative AI Technical Review AWS 102

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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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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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

NOVEMBER 26, 2024

These actions can be implemented in the cloud using AWS Lambda , or you can use local business logic with return of control. As part of the agent, we configure action groups consisting of Lambda functions, which gives the agent the ability to perform various actions. The following diagram illustrates the solution architecture.

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Lambda Virtualization AWS Generative AI 102

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

FEBRUARY 8, 2024

The following diagram illustrates the solution architecture. Each action group can specify one or more API paths, whose business logic is run through the AWS Lambda function associated with the action group. The workflow consists of the following steps: Users provide natural language inputs to the agent. create-customer-resources.sh

Knowledge Base 139

Knowledge Base Insurance Lambda AWS 139

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.

Lambda 40

Lambda Software Review AWS Serverless 40

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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