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 102

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AWS Machine Learning - AI

APRIL 1, 2025

Using a client-server architecture, MCP enables developers to expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server.

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AWS Machine Learning - AI

JANUARY 13, 2025

The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison. The following diagram illustrates the solution architecture. The text summarization Lambda function is invoked by this new queue containing the extracted text.

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AWS Machine Learning - AI

OCTOBER 29, 2024

The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

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. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Generative AI Technical Review Software Review Systems Review 118

AWS Machine Learning - AI

MARCH 13, 2025

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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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 111

AWS Machine Learning - AI

APRIL 1, 2025

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

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AWS Software Review Knowledge Base Artificial Inteligence 119

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 132

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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. The workflow includes the following steps: Amazon WorkMail manages incoming and outgoing customer emails.

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AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. Furthermore, the systems modular architecture facilitates seamless maintenance, updates, and scalability.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

The architecture in the preceding figure illustrates two methods for dynamically retrieving inference profile ARNs based on tags. Lambda-based Method: This approach uses AWS Lambda as an intermediary between the calling client and the ResourceGroups API. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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Generative AI AWS Artificial Inteligence Budget 142

AWS Machine Learning - AI

NOVEMBER 21, 2024

The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications.

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Video Lambda AWS Generative AI 102

AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The following diagram illustrates the solution architecture. Click here to open the AWS console and follow along.

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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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AWS Machine Learning - AI

MARCH 20, 2025

Lets look at an example solution for implementing a customer management agent: An agentic chat can be built with Amazon Bedrock chat applications, and integrated with functions that can be quickly built with other AWS services such as AWS Lambda and Amazon API Gateway. Then the user interacts with the chat application using natural language.

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AWS Machine Learning - AI

MARCH 18, 2025

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. On the Lambda console, navigate to the function named hcls_clinical_trial_analysis. Choose Test. Choose Test. Run the test event.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

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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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 140

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AWS Machine Learning - AI

APRIL 22, 2025

Seamless live stream acquisition The solution begins with an IP-enabled camera capturing the live event feed, as shown in the following section of the architecture diagram. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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Media Knowledge Base AWS Systems Review 82

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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Lambda Generative AI AWS Microservices 144

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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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.

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Knowledge Base Artificial Inteligence Applications Lambda 133

AWS Machine Learning - AI

OCTOBER 11, 2024

It can be extended to incorporate additional types of operational events—from AWS or non-AWS sources—by following an event-driven architecture (EDA) approach. The following diagram illustrates the solution architecture. See Amazon Bedrock pricing , Amazon OpenSearch pricing and Amazon Kendra pricing for pricing details.

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Cloud AWS Serverless Policies 97

TechCrunch

MAY 3, 2022

The modern architecture of databases makes this complicated, with information potentially distributed across Kubernetes containers, Lambda, ECS and EC2 and more. “Our special sauce is in this distributed mesh network of agents,” Unlu said. “It makes us much more unique.”

Data 192

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AWS Machine Learning - AI

MARCH 20, 2025

Amazon Bedrock offers fine-tuning capabilities that allow you to customize these pre-trained models using proprietary call transcript data, facilitating high accuracy and relevance without the need for extensive machine learning (ML) expertise. Architecture The following diagram illustrates the solution architecture.

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CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

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CIO

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

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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

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. Here, we use the on-demand option.

Generative AI 121

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AWS Machine Learning - AI

APRIL 30, 2025

FloQasts AI-powered solution uses advanced machine learning (ML) and natural language commands, enabling accounting teams to automate reconciliation with high accuracy and minimal technical setup. The following diagram illustrates the architecture using AWS services. When complete, raw data is stored into an encrypted 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.

Artificial Inteligence 132

Artificial Inteligence Generative AI Lambda Healthcare 132

AWS Machine Learning - AI

MAY 17, 2024

Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs). The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events.

Generative AI 137

Generative AI Artificial Inteligence Systems Review Software Review 137

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. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components. Connect with him on LinkedIn.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

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

Generative AI 139

Generative AI Lambda AWS Artificial Inteligence 139

AWS Machine Learning - AI

DECEMBER 4, 2024

The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE. Solution architecture The architecture in the preceding figure shows how Amazon Bedrock IDE orchestrates the data flow. The following figure illustrates the workflow from initial user interaction to final response.

Generative AI 106

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AWS Machine Learning - AI

JULY 3, 2024

AWS Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. The original message ( example in Norwegian ) is sent to a Step Functions state machine using API Gateway.

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AWS Artificial Inteligence Generative AI Lambda 139