AWS Machine Learning - AI

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. Solution overview The following architecture diagram represents the high-level design of a solution proven effective in production environments for AWS Support Engineering.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority.

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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. The following diagram provides a detailed view of the architecture to enhance email support using generative AI.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The following diagram illustrates the architecture of the application.

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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. We will also see how this new method can overcome most of the disadvantages we identified with the previous approach. Without further ado, let’s get into the business!

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AWS Machine Learning - AI

MARCH 20, 2025

It integrates with existing applications and includes key Amazon Bedrock features like foundation models (FMs), prompts, knowledge bases, agents, flows, evaluation, and guardrails. Solution overview Amazon Bedrock provides a governed collaborative environment to build and share generative AI applications within SageMaker Unified Studio.

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Toptal

FEBRUARY 25, 2016

AWS Lambda offers a relatively thin service with a rich set of ancillary configuration options, making it possible to implement easily scalable and maintainable applications leveraging these services.

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AWS Machine Learning - AI

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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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

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. Use the.zip file to manually deploy the application in Amplify.

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Tenable

FEBRUARY 13, 2024

Cybersecurity teams often struggle with securing cloud-native applications, which are becoming increasingly popular with developers. The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Here’s why. What is serverless? How can serverless help?

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Dzone - DevOps

AUGUST 15, 2023

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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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

NOVEMBER 14, 2024

With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface. Amazon Bedrock is the place to start when building applications that will amaze and inspire your users.

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Stackery

FEBRUARY 19, 2020

Too often serverless is equated with just AWS Lambda. Yes, it’s true: Amazon Web Services (AWS) helped to pioneer what is commonly referred to as serverless today with AWS Lambda, which was first announced back in 2015. Lambda is just one component of a modern serverless stack.

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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.

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Dzone - DevOps

JUNE 21, 2023

Microservices architecture is becoming increasingly popular as it enables organizations to build complex, scalable applications by breaking them down into smaller, independent services. Each microservice performs a specific function within the application and can be developed, deployed, and scaled independently.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

Similarly, in text-to-speech applications, understanding the subtle nuances of human speech—from the length of pauses between phrases to changes in emotional tone—requires detailed human feedback at a segment level. The following diagram illustrates the solution architecture.

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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). The interplay between Generative AI and human input paves the way for more accurate and responsible applications. We used this feedback to finetune the model deployed on Amazon Bedrock to power the chat-bot.

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Perficient

MARCH 27, 2025

Unlike Terraform, which uses HCL, Pulumi enables you to define infrastructure using Python, making it easier for developers to integrate infrastructure with application code. The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer.

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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. AWS Health events, on the other hand, will be reported whenever applicable.

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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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AWS Machine Learning - AI

MARCH 13, 2025

However, inference of LLMs as single model invocations or API calls doesnt scale well with many applications in production. The Lambda function spins up an Amazon Bedrock batch processing endpoint and passes the S3 file location. The security measures are inherently integrated into the AWS services employed in this architecture.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Xebia

MAY 2, 2023

The question quite simple: How can we manage K8s infrastructure and applications using one codebase and high level programming languages? In the coming paragraphs we will identify how we can write Infrastructure as Code (IaC) as well as the K8s workload definition for an application that will be deployed on AWS. InstanceType('t3.large')]

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Dzone - DevOps

JANUARY 16, 2024

Serverless architecture is a way of building and running applications without the need to manage infrastructure. AWS offers various serverless services, with AWS Lambda being one of the most prominent. There's no idle capacity because billing is based on the actual amount of resources consumed by an application.

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Dzone - DevOps

OCTOBER 6, 2023

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

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LaunchDarkly

JUNE 5, 2019

Not only did TrueCar need to move their domain DNS entries, they also needed to revamp their entire architecture, software, and operational practices. To complicate issues, the legacy codebase and architecture had to remain in place while TrueCar built out a new platform for the transition.

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AWS Machine Learning - AI

MARCH 18, 2025

The process flow consists of the following steps: Audio input Patients participating in clinical trials can provide their updates, symptoms, and feedback through voice recordings using a mobile application or a dedicated recording device. Solution overview The following diagram illustrates the solution architecture. Choose Test.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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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

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Generative AI 139

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CircleCI

NOVEMBER 7, 2022

This tutorial covers: Using the Jest framework to set up unit testing for a serverless application. that simplifies the development and deployment of AWS Lambda functions. It frees you from worrying about how to package and deploy the application to the cloud, so you can focus on your application logic. Lambda function.

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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. The following figure illustrates the core architecture for the NLQ capability.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The following diagram illustrates the solution architecture. The response data is stored in DynamoDB.

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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 13, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using the AWS tools without having to manage the infrastructure. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

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