Lambda, Machine Learning and Storage

Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

Generative AI

Generative AI Video Engineering Artificial Inteligence

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

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. in the GitHub repository you cloned to your local machine during deployment.

Generative AI

Generative AI Lambda Applications AWS

Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

OCTOBER 29, 2024

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

Scalability

Scalability Lambda Generative AI AWS

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Build a multi-tenant generative AI environment for your enterprise on AWS

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. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval. For example, in one common scenario with Cognito that accesses resources with API Gateway and Lambda with a user pool.

Generative AI

Generative AI AWS Artificial Inteligence Enterprise

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

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.

Lambda

Lambda Enterprise Automotive Knowledge Base

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

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

Knowledge Base Lambda Enterprise AWS

Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

OCTOBER 29, 2024

Flexible logging –You can use this solution to store logs either locally or in Amazon Simple Storage Service (Amazon S3) using Amazon Data Firehose, enabling integration with existing monitoring infrastructure. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Generative AI

Generative AI Applications AWS Knowledge Base

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

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. To launch the solution in a different Region, change the aws_region parameter accordingly.

Generative AI

Generative AI AWS Lambda Authentication

How BQA streamlines education quality reporting using Amazon Bedrock

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

Education Report Technical Review Generative AI

Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

AWS Machine Learning - AI

NOVEMBER 14, 2024

If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3) , and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name.

Artificial Inteligence

Artificial Inteligence Generative AI Travel AWS

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction. builder. .appName(

Artificial Inteligence

Artificial Inteligence Machine Learning Data Applications

Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

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.

Video

Video Lambda AWS Generative AI

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

AWS Machine Learning - AI

MARCH 13, 2025

The Lambda function spins up an Amazon Bedrock batch processing endpoint and passes the S3 file location. The second Lambda function performs the following tasks: It monitors the batch processing job on Amazon Bedrock. He works on pioneering solutions for various industries using statistical modeling and machine learning techniques.

Artificial Inteligence

Artificial Inteligence Systems Review System Generative AI

Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning - AI

AUGUST 13, 2024

Part 1: Standard forms: Data extraction and storage The following diagram highlights the key elements of a solution for data extraction and storage with standard forms. Figure 1: Architecture – Standard Form – Data Extraction & Storage. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare

Healthcare Artificial Inteligence Analysis Lambda

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

NOVEMBER 19, 2024

An email handler AWS Lambda function is invoked by WorkMail upon the receipt of an email, and acts as the intermediary that receives requests and passes it to the appropriate agent. The system indexes documents and files stored in Amazon Simple Storage Service (Amazon S3) using Amazon OpenSearch Service for quick retrieval.

Knowledge Base

Knowledge Base Generative AI Technical Review Lambda

Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

MARCH 18, 2025

Data consolidation The transcribed patient reports are consolidated into a structured database, enabling efficient storage, retrieval, and analysis. 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.

Artificial Inteligence

Artificial Inteligence Technical Review Healthcare Systems Review

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

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. To learn more about PrivateLink, see Use AWS PrivateLink to set up private access to Amazon Bedrock.

Lambda

Lambda Generative AI AWS Microservices

Techniques and approaches for monitoring large language models on AWS

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

Artificial Inteligence AWS Lambda Metrics

AWS ECS vs. AWS Lambda: Top 5 Main Differences

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.

AWS

AWS Lambda Software Review Artificial Inteligence

Accelerate IaC troubleshooting with Amazon Bedrock Agents

AWS Machine Learning - AI

FEBRUARY 25, 2025

Error retrieval and context gathering The Amazon Bedrock agent forwards these details to an action group that invokes the first AWS Lambda function (see the following Lambda function code ). This contextual information is then sent back to the first Lambda function. Provide the troubleshooting steps to the user.

Lambda

Lambda Generative AI AWS Software Review

Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

NOVEMBER 14, 2024

The storage layer uses Amazon Simple Storage Service (Amazon S3) to hold the invoices that business users upload. You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. Importantly, your document and data are not stored after processing.

Software Review

Software Review Technical Review AWS Artificial Inteligence

How Mixbook used generative AI to offer personalized photo book experiences

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.

Generative AI

Generative AI Artificial Inteligence AWS Technical Review

Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

MARCH 4, 2025

Scalable architecture Uses AWS services like AWS Lambda and Amazon Simple Queue Service (Amazon SQS) for efficient processing of multiple reviews. The workflow consists of the following steps: WAFR guidance documents are uploaded to a bucket in Amazon Simple Storage Service (Amazon S3).

Generative AI

Generative AI Technical Review Software Review Systems Review

Incorporate offline and online human – machine workflows into your generative AI applications on AWS

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. More information can be found here.

Generative AI

Generative AI Artificial Inteligence AWS Applications

Medical content creation in the age of generative AI

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.

Artificial Inteligence

Artificial Inteligence Generative AI Lambda Healthcare

Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

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

Knowledge Base Artificial Inteligence Lambda Applications

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

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

Artificial Inteligence Lambda Knowledge Base IoT

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

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

Generative AI Lambda AWS Artificial Inteligence

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning - AI

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. The workflow consists of the following steps: The user uploads the meeting recording as an audio or video file to the project’s Amazon Simple Storage Service (Amazon S3) bucket, in the /recordings folder.

Artificial Inteligence

Artificial Inteligence Meeting AWS Generative AI

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

MARCH 5, 2025

At a high level, the AWS Step Functions pipeline accepts source data in Amazon Simple Storage Service (Amazon S3) , and orchestrates AWS Lambda functions for ingestion, chunking, and prompting on Amazon Bedrock to generate the fact-wise JSONLines ground truth. Amazons operating margin in 2023 was 6.4%.

Generative AI

Generative AI Systems Review Artificial Inteligence Software Review

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

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.

Lambda

Lambda AWS Generative AI Resources

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

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

AWS Applications Lambda Knowledge Base

Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

AWS Machine Learning - AI

APRIL 11, 2024

We use the following key components: Embeddings – Embeddings are numerical representations of real-world objects that machine learning (ML) and AI systems use to understand complex knowledge domains like humans do. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

Artificial Inteligence

Artificial Inteligence Lambda AWS Machine Learning

Using Agents for Amazon Bedrock to interactively generate infrastructure as code

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

Software Review Infrastructure Lambda Generative AI

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

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.

Knowledge Base

Knowledge Base Artificial Inteligence Applications Lambda

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning - AI

AUGUST 15, 2024

The solution is extensible, uses AWS AI and machine learning (ML) services, and integrates with multiple channels such as voice, web, and text (SMS). The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index.

Artificial Inteligence

Artificial Inteligence Generative AI Knowledge Base Lambda

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

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. Yasmine Rodriguez Wakim is the Chief Technology Officer at Asure Software.

Generative AI

Generative AI Artificial Inteligence Metrics AWS

Analyze customer reviews using Amazon Bedrock

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.

Technical Review

Technical Review Software Review Systems Review Generative AI

Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

NOVEMBER 24, 2023

AWS Lambda – AWS Lambda provides serverless compute for processing. Note that in this solution, all of the storage is in the UI. Amazon API Gateway passes the request to AWS Lambda through a proxy integration. When operating on product image inputs, AWS Lambda calls Amazon Rekognition to detect objects in the image.

eCommerce

eCommerce Generative AI Lambda AWS

Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

MARCH 7, 2025

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. This action invokes an AWS Lambda function to retrieve the document embeddings from the OpenSearch Service database and present them to Anthropics Claude 3 Sonnet FM, which is accessed through Amazon Bedrock.

Generative AI

Generative AI Technical Review Insurance Policies

9 Best Free Node.js Hosting 2023

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. Their service provides the most sophisticated vision, language, speech, and AI models, hence you will be able to create your machine-learning system.

Serverless

Serverless AWS Google Cloud Azure

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

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

Knowledge Base Insurance Lambda AWS

Accenture creates a regulatory document authoring solution using AWS generative AI services

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.

Generative AI

Generative AI AWS Lambda Technical Review

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

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

AWS

AWS Lambda Generative AI Report

Build a video insights and summarization engine using generative AI with Amazon Bedrock

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Webinars

Trending Sources

Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

Webinars

Build a multi-tenant generative AI environment for your enterprise on AWS

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Empower your generative AI application with a comprehensive custom observability solution

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

How BQA streamlines education quality reporting using Amazon Bedrock

Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

Intelligent healthcare forms analysis with Amazon Bedrock

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

Revolutionizing clinical trials with the power of voice and AI

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

Techniques and approaches for monitoring large language models on AWS

AWS ECS vs. AWS Lambda: Top 5 Main Differences

Accelerate IaC troubleshooting with Amazon Bedrock Agents

Automate invoice processing with Streamlit and Amazon Bedrock

How Mixbook used generative AI to offer personalized photo book experiences

Accelerate AWS Well-Architected reviews with Generative AI

Incorporate offline and online human – machine workflows into your generative AI applications on AWS

Medical content creation in the age of generative AI

Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

Using Agents for Amazon Bedrock to interactively generate infrastructure as code

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

Analyze customer reviews using Amazon Bedrock

Automating product description generation with Amazon Bedrock

Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

9 Best Free Node.js Hosting 2023

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Accenture creates a regulatory document authoring solution using AWS generative AI services

Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

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