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.

Knowledge Base 84

Knowledge Base Generative AI Technical Review AWS 84

AWS Machine Learning - AI

OCTOBER 29, 2024

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

Generative AI 106

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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 126

Artificial Inteligence AWS Lambda Metrics 126

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 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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Lambda Cloud AWS Generative AI 70

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

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

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.

Generative AI 121

Generative AI AWS Lambda Technical Review 121

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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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

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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Technical Review Software Review Systems Review Generative AI 123

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

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Strategy Cloud Data Center Generative AI 351

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

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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Lambda Knowledge Base AWS Generative AI 90

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.

Serverless 72

Serverless Lambda Data AWS 72

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. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval.

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Generative AI AWS Artificial Inteligence Enterprise 108

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. This solution creates and simulates thousands of connected users generating transactional records at a constant pace without the need to provision servers.

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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

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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Artificial Inteligence Lambda Knowledge Base IoT 124

AWS Machine Learning - AI

OCTOBER 23, 2024

Prerequisites To implement this solution, you need the following: An AWS account with permissions to create resources in Amazon Bedrock, Amazon Lex, Amazon Connect, and AWS Lambda. Amazon API Gateway routes the incoming message to the inbound message handler, executed on AWS Lambda.

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Lambda Knowledge Base Generative AI 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. Lambda will horizontally scale precisely when we need it to a massive extent.

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Lambda Software Review AWS Serverless 40

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

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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Lambda AWS Storage Architecture 79

Perficient

MAY 30, 2023

In this technical blog post, we will explore the limitations of Databricks regarding synchronous updates, introduce the pattern of “Simulating Synchronous Operations with Asynchronous Code,” and compare it with the widely adopted event-driven architecture. The events are then published to a message broker or event bus.

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Software Review Systems Review System Lambda 59

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

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.

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Knowledge Base Artificial Inteligence Applications Lambda 111

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.

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Generative AI AWS 3D Video 117

RapidValue

OCTOBER 12, 2020

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Key Features of Microservices Architecture. Microservices Architecture on AWS.

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Microservices AWS Architecture Applications 53

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. You don’t have to manage servers to run apps, storage systems, or databases at any scale. Was serverless really cloud 2.0

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Serverless Lambda Architecture AWS 98

AWS Machine Learning - AI

NOVEMBER 12, 2024

Agmatix’s technology architecture is built on AWS. Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.

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AWS Machine Learning - AI

SEPTEMBER 17, 2024

Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.

Generative AI 86

Generative AI AWS Applications Serverless 86

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

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 120

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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Honeycomb

MAY 23, 2022

The work done by software we ourselves develop was both the easiest to move – because we control the build, and so could re-compile for the Arm architecture – and the highest-impact, as it makes up the bulk of our compute spend. Instances[]' | jq -cs '.[] | {arch: Architecture, type: InstanceType, tags: (.Tags//[])|from_entries|{name:

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AWS Lambda Architecture Testing 88

Stacks on Stacks

NOVEMBER 29, 2018

Lambda layers and runtime API are two new feature of AWS Lambda which open up fun possibilities for customizing the Lambda runtime and enable decreased duplication of code across Lambda functions. Layers is aimed at a common pain point teams hit as the number of Lambdas in their application grows.

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