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. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

Generative AI 139

Generative AI Lambda AWS Artificial Inteligence 139

AWS Machine Learning - AI

OCTOBER 31, 2024

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. The code runs in a Lambda function. Implement your business logic in this file.

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AWS Machine Learning - AI

JULY 11, 2024

Figure 1 : High level overview of creating Infrastructure as Code from architecture diagram Initial Input through the Amazon Bedrock chat console : The user begins by entering the name of their Amazon Simple Storage Service (Amazon S3) bucket and the object (key) name where the architecture diagram is stored into the Amazon Bedrock chat console.

Software Review 139

Software Review Infrastructure Lambda Generative AI 139

AWS Machine Learning - AI

APRIL 18, 2024

In parallel, the AVM layer invokes a Lambda function to generate Terraform code. The reviewed and updated Terraform scripts are then used to deploy infrastructure components into the newly provisioned AWS account, setting up compute, storage, and networking resources required for the application. Access to Amazon Bedrock models.

AWS 129

AWS Applications Lambda Knowledge Base 129

AWS Machine Learning - AI

NOVEMBER 7, 2024

The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket. The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information.

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Lambda Enterprise Automotive Knowledge Base 129

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.

Artificial Inteligence 137

Artificial Inteligence Lambda Knowledge Base IoT 137

Dzone - DevOps

APRIL 24, 2023

Currently, AWS offers over 200 cloud services, including cloud hosting, storage, machine learning, and container management. In 2006, Amazon launched its cloud services platform, Amazon Web Services (AWS) , one of the leading cloud providers to date.

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AWS Lambda Software Review Artificial Inteligence 98

AWS Machine Learning - AI

FEBRUARY 9, 2024

API Gateway routes the request to an AWS Lambda function ( bedrock_invoke_model ) that’s responsible for logging team usage information in Amazon CloudWatch and invoking the Amazon Bedrock model. The workflow steps are as follows: An Amazon EventBridge rule triggers a Lambda function ( bedrock_cost_tracking ) daily.

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Lambda Generative AI AWS Microservices 144

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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Lambda Serverless AWS Architecture 61

AWS Machine Learning - AI

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Amazon Bedrock saves the request and completion (response) in Amazon Simple Storage Service (Amazon S3) as the per configuration of invocation logging.

Artificial Inteligence 140

Artificial Inteligence AWS Lambda Metrics 140

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 52

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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Cloud Strategy Data Center Budget 211

Dzone - DevOps

JUNE 19, 2023

In this blog post, you will learn how to build a Serverless solution to process images using Amazon Rekognition , AWS Lambda and the Go programming language.

Serverless 97

Serverless Lambda Applications AWS 97

Dzone - DevOps

JUNE 29, 2023

In this blog post, you will learn how to build a Serverless speech-to-text conversion solution using Amazon Transcribe , AWS Lambda , and the Go programming language.

Serverless 98

Serverless Lambda Applications AWS 98

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. This API will be used to invoke the Lambda function.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. 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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Dzone - DevOps

OCTOBER 2, 2023

In this blog post, you will learn how to build a Serverless solution for entity detection using Amazon Comprehend , AWS Lambda , and the Go programming language. Text files uploaded to Amazon Simple Storage Service (S3) will trigger a Lambda function which will further analyze it, extract entity metadata (name, type, etc.)

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Serverless AWS Lambda Applications 97

AWS Machine Learning - AI

OCTOBER 29, 2024

AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. 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

AUGUST 21, 2024

The architecture carries out the following steps: Customer reviews can be imported into an Amazon Simple Storage Service (Amazon S3) bucket as JSON objects. This bucket will have event notifications enabled to invoke an AWS Lambda function to process the objects created or updated.

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Technical Review Software Review Systems Review Generative AI 126

AWS Machine Learning - AI

JULY 10, 2024

Now that you understand the concepts for semantic and hierarchical chunking, in case you want to have more flexibility, you can use a Lambda function for adding custom processing logic to chunks such as metadata processing or defining your custom logic for chunking. Make sure to create the Lambda layer for the specific open source framework.

Knowledge Base 136

Knowledge Base Artificial Inteligence Lambda Applications 136

AWS Machine Learning - AI

FEBRUARY 11, 2025

The Amazon Q Business pre-built connectors like Amazon Simple Storage Service (Amazon S3), document retrievers, and upload capabilities streamlined data ingestion and processing, enabling the team to provide swift, accurate responses to both basic and advanced customer queries.

Knowledge Base 108

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AWS Machine Learning - AI

MARCH 7, 2024

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. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow runs the following steps for each image: 5.1

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Dzone - DevOps

MAY 1, 2023

For example, traditional data structures in relational databases started to move forward to a new approach that enables to storage and retrieval of key-value and document data structures using NoSQL databases.

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Serverless Lambda Data AWS 94

Linux Academy

JANUARY 22, 2020

If you’re studying for the AWS Cloud Practitioner exam, there are a few Amazon S3 (Simple Storage Service) facts that you should know and understand. Amazon S3 is an object storage service that is built to be scalable, high available, secure, and performant. What to know about S3 Storage Classes. Most expensive storage class.

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AWS Machine Learning - AI

MAY 14, 2024

Build an offline human feedback workflow In this scenario, we assume that the chat transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket in JSON format, a typical chat transcript format, for the human experts to provide annotations and labels on each LLM response. Here, we use the on-demand option.

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Generative AI Artificial Inteligence AWS Applications 121

Honeycomb

JANUARY 10, 2020

We’re big fans of AWS Lambda at Honeycomb. As you may have read , we recently made some major improvements to our storage engine by leveraging Lambda to process more data in less time. Making a change to a complex system like our storage engine is daunting, but can be made less so with good instrumentation and tracing.

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AWS Machine Learning - AI

JULY 3, 2024

Amazon Lambda : to run the backend code, which encompasses the generative logic. Amazon Simple Storage Service (S3) : for documents and processed data caching. In step 3, the frontend sends the HTTPS request via the WebSocket API and API gateway and triggers the first Amazon Lambda function.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

At its core, Amazon Simple Storage Service (Amazon S3) serves as the secure storage for input files, manifest files, annotation outputs, and the web UI components. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. On the SageMaker console, choose Create labeling job.

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The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Try Render Vercel Earlier known as Zeit, the Vercel app acts as the top layer of AWS Lambda which will make running your applications easy. Features: Simple deployment with just one click. Auto Scaling for traffic surges. Constant deployment that will keep applications updated.

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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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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

JANUARY 13, 2025

The solution consists of the following steps: Relevant documents are uploaded and stored in an Amazon Simple Storage Service (Amazon S3) bucket. The text extraction AWS Lambda function is invoked by the SQS queue, processing each queued file and using Amazon Textract to extract text from the documents.

Education 113

Education Report Technical Review Generative AI 113

AWS Machine Learning - AI

FEBRUARY 19, 2024

This architecture includes the following steps: A user interacts with the Streamlit chatbot interface and submits a query in natural language This triggers a Lambda function, which invokes the Knowledge Bases RetrieveAndGenerate API. You will use this Lambda layer code later to create the Lambda function.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Action groups are a set of APIs and corresponding business logic, whose OpenAPI schema is defined as JSON files stored in Amazon Simple Storage Service (Amazon S3). 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.

Knowledge Base 140

Knowledge Base Insurance Lambda AWS 140

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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.

Lambda 40

Lambda Software Review AWS Serverless 40

AWS Machine Learning - AI

JULY 2, 2024

When the doctor interacts with the Streamlit frontend, it sends a request to an AWS Lambda function, which acts as the application backend. Before querying the knowledge base, the Lambda function retrieves data from the DynamoDB database, which stores doctor-patient associations.

Knowledge Base 132

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