AWS Machine Learning - AI

NOVEMBER 19, 2024

Solution overview This section outlines the architecture designed for an email support system using generative AI. High Level System Design The solution consists of the following components: Email service – This component manages incoming and outgoing customer emails, serving as the primary interface for email communications.

Knowledge Base 86

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AWS Machine Learning - AI

AUGUST 13, 2024

Solution overview To provide a high-level understanding of how the solution works before diving deeper into the specific elements and the services used, we discuss the architectural steps required to build our solution on AWS. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

Healthcare 119

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AWS Machine Learning - AI

FEBRUARY 6, 2024

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. The user-friendly system also employs encryption for security. The following diagram illustrates the solution architecture. It captures the message ID returned by Amazon SQS.

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AWS Machine Learning - AI

MARCH 15, 2024

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. Solution overview The following diagram illustrates our solution architecture.

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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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AWS Machine Learning - AI

NOVEMBER 18, 2024

By implementing a proactive security monitoring and alerting system, users can receive personalized notifications in preferred channels like email, SMS, or push notifications. The Step Functions state machine invokes AWS Lambda functions to get a findings summary and remediation steps through Amazon Bedrock.

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Lambda Cloud AWS Generative AI 71

Xebia

MAY 21, 2024

This involves updating existing systems to take advantage of modern cloud-native architectures, technologies, and best practices, which always follow the six Pillars of AWS Well Architecture Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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AWS Strategy Serverless Microservices 130

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. Lambda@Edge NodeJS goodness.

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Lambda AWS Software Engineering Engineering 73

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

OCTOBER 25, 2024

To realize this vision, Planview developed an AI assistant called Planview Copilot , using a multi-agent system powered by Amazon Bedrock. This approach is both architecturally and organizationally scalable, enabling Planview to rapidly develop and deploy new AI skills to meet the evolving needs of their customers.

Project Management 108

Project Management Artificial Inteligence Scalability Generative AI 108

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. Why Orchestration?

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AWS Machine Learning - AI

MAY 17, 2024

This involves building a human-in-the-loop process where humans play an active role in decision making alongside the AI system. For most reviews, the system auto-generates a reply using an LLM. However, if the review or LLM-generated response contains uncertainty around toxicity or tone, the system flags it for a human reviewer.

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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.

Lambda 52

Lambda Software Review AWS Serverless 52

Xebia

APRIL 20, 2023

The magic happens through a combination of Serverless, user input, a CloudFront distribution, a Lambda function, and the OpenAI API. The Lambda function is a Python script that incorporates the Xebia mission, vision, and values, as well as each leader’s personality and speaking style. personality}. Stay in character.

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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

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.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. The following diagram illustrates the high-level RAG architecture.

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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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AWS Machine Learning - AI

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

The ReAct approach enables agents to generate reasoning traces and actions while seamlessly integrating with company systems through action groups. 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.

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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. 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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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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Mike Roberts

NOVEMBER 1, 2017

Error Handling This is Part 7 of Learning Lambda, a tutorial series about engineering using AWS Lambda. Welcome to Part 7 of Learning Lambda! Classes of error When using AWS Lambda there are several different classes of error that can occur. To see the other articles in this series please visit the series home page.

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Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

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Architecture Technical Review Software Review Microservices 98

AWS Machine Learning - AI

OCTOBER 14, 2024

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request.

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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

JULY 3, 2024

The system is built upon Amazon Bedrock and leverages LLM capabilities to generate curated medical content for disease awareness. For this reason, our system has been augmented with additional guardrails for fact-checking and rules evaluation. Amazon Lambda : to run the backend code, which encompasses the generative logic.

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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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Mike Roberts

DECEMBER 13, 2017

Lambda is a wonderful platform. that of the ability to overwhelm downstream systems with unfettered load?—?got The problems In Learning Lambda Part 9 , I described Lambda’s scaling behavior? Lambda can overwhelm downstream resources that do not have similar scaling properties. One of those edges?—?that

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Lambda AWS Architecture Microservices 40

Mike Roberts

DECEMBER 13, 2017

Lambda is a wonderful platform. that of the ability to overwhelm downstream systems with unfettered load?—?got The problems In Learning Lambda Part 9 , I described Lambda’s scaling behavior? Lambda can overwhelm downstream resources that do not have similar scaling properties. One of those edges?—?that

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Lambda AWS Architecture Microservices 40

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. This post provided an overview of the GenASL architecture and implementation details.

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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.

Lambda 88

Lambda Knowledge Base AWS Generative AI 88

Mike Roberts

NOVEMBER 14, 2017

Cold Starts This is Part 8 of Learning Lambda, a tutorial series about engineering using AWS Lambda. In this installment of Learning Lambda I discuss Cold Starts. In this installment of Learning Lambda I discuss Cold Starts. Way back in Part 3 I talked about the lifecycle of a Lambda function.

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Xebia

JANUARY 19, 2023

With this practical book, you’ll learn how to plan and build systems to serve your organization’s and customers’ needs by evaluating the best technologies available through the framework of the data engineering lifecycle. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

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AWS Machine Learning - AI

OCTOBER 23, 2024

By automating document ingestion, chunking, and embedding, it eliminates the need to manually set up complex vector databases or custom retrieval systems, significantly reducing development complexity and time. Amazon API Gateway routes the incoming message to the inbound message handler, executed on AWS Lambda.

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AWS Machine Learning - AI

SEPTEMBER 17, 2024

Our solution uses an FSx for ONTAP file system as the source of unstructured data and continuously populates an Amazon OpenSearch Serverless vector database with the user’s existing files and folders and associated metadata. The RAG Retrieval Lambda function stores conversation history for the user interaction in an Amazon DynamoDB table.

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AWS Machine Learning - AI

APRIL 11, 2024

Categorizing documents is an important first step in IDP systems. As new document templates and types emerge in business workflows, you can simply invoke the Amazon Bedrock API to dynamically vectorize them and append to their IDP systems to rapidly enhance document classification capabilities.

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