AWS Machine Learning - AI

JANUARY 13, 2025

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. The process involves the collection and analysis of extensive documentation, including self-evaluation reports (SERs), supporting evidence, and various media formats from the institutions being reviewed.

Education 103

Education Report Technical Review Generative AI 103

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

MARCH 4, 2025

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. An interactive chat interface allows deeper exploration of both the original document and generated content.

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Generative AI Technical Review Software Review Systems Review 107

AWS Machine Learning - AI

NOVEMBER 19, 2024

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. Information repository – This repository holds essential documents and data that support customer service processes.

Knowledge Base 100

Knowledge Base Technical Review Generative AI Lambda 100

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 tedious process of compiling hundreds of documents is also prone to errors.

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AWS Machine Learning - AI

MARCH 18, 2025

Site monitors conduct on-site visits, interview personnel, and verify documentation to assess adherence to protocols and regulatory requirements. However, this process can be time-consuming and prone to errors, particularly when dealing with extensive audio recordings and voluminous documentation.

Artificial Inteligence 109

Artificial Inteligence Technical Review Healthcare Systems Review 109

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 94

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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. Additionally, you can choose what gets logged.

Generative AI 109

Generative AI Applications AWS Knowledge Base 109

AWS Machine Learning - AI

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

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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. Hybrid search – In RAG, you may also optionally want to implement and expose different templates for performing hybrid search that help improve the quality of the retrieved documents. This logic sits in a hybrid search component.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. Importantly, your document and data are not stored after processing. Install Python 3.7 or later on your local machine.

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Software Review Technical Review AWS Artificial Inteligence 106

AWS Machine Learning - AI

MARCH 7, 2025

Mozart, the leading platform for creating and updating insurance forms, enables customers to organize, author, and file forms seamlessly, while its companion uses generative AI to compare policy documents and provide summaries of changes in minutes, cutting the change adoption time from days or weeks to minutes.

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Generative AI Technical Review Insurance Policies 89

AWS Machine Learning - AI

JULY 10, 2024

However, it’s important to note that in RAG-based applications, when dealing with large or complex input text documents, such as PDFs or.txt files, querying the indexes might yield subpar results. Advanced parsing Advanced parsing is the process of analyzing and extracting meaningful information from unstructured or semi-structured documents.

Knowledge Base 133

Knowledge Base Artificial Inteligence Lambda Applications 133

AWS Machine Learning - AI

MARCH 5, 2025

For example, consider how the following source document chunk from the Amazon 2023 letter to shareholders can be converted to question-answering ground truth. To convert the source document excerpt into ground truth, we provide a base LLM prompt template. Further, Amazons operating income and Free Cash Flow (FCF) dramatically improved.

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Generative AI Systems Review Software Review Artificial Inteligence 75

AWS Machine Learning - AI

APRIL 18, 2024

Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts. In parallel, the AVM layer invokes a Lambda function to generate Terraform code. For creating lambda function, please follow instructions. Access to Amazon Bedrock models.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Your Amazon Bedrock-powered insurance agent can assist human agents by creating new claims, sending pending document reminders for open claims, gathering claims evidence, and searching for information across existing claims and customer knowledge repositories. Send a pending documents reminder to the policy holder of claim 2s34w-8x.

Knowledge Base 139

Knowledge Base Insurance Lambda AWS 139

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.

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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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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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AWS Machine Learning - AI

JULY 2, 2024

By incorporating their unique data sources, such as internal documentation, product catalogs, or transcribed media, organizations can enhance the relevance, accuracy, and contextual awareness of the language model’s outputs. The access ID associated with their authentication when the chat is initiated can be passed as a filter.

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Knowledge Base Artificial Inteligence Lambda Authentication 128

AWS Machine Learning - AI

JULY 3, 2024

Amazon Lambda : to run the backend code, which encompasses the generative logic. Amazon Textract : for documents parsing, text, and layout extraction. Amazon Simple Storage Service (S3) : for documents and processed data caching. It sends it back to the WebSocket via the Lambda function.

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AWS Machine Learning - AI

AUGUST 15, 2024

Lastly, if you don’t want to set up custom integrations with large data sources, you can simply upload your documents and support multi-turn conversations. The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index. Amazon Lex forwards requests to the Bot Fulfillment Lambda function.

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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. Lambda will horizontally scale precisely when we need it to a massive extent.

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AWS Machine Learning - AI

APRIL 22, 2025

MediaLive also extracts the audio-only output and stores it in an Amazon Simple Storage Service (Amazon S3) bucket, facilitating a subsequent postprocessing workflow. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

Media 75

Media Knowledge Base AWS Systems Review 75

AWS Machine Learning - AI

FEBRUARY 19, 2024

Embeddings are created for documents and user questions. The document embeddings are split into chunks and stored as indexes in a vector database. The text generation workflow then takes a question’s embedding vector and uses it to retrieve the most similar document chunks based on vector similarity.

Knowledge Base 121

Knowledge Base Artificial Inteligence Applications Lambda 121

AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. The agent is equipped with tools that include an Anthropic Claude 2.1 ConversationIndexTable – Tracks the conversation state.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

In this post, we explore how Amazon Bedrock Knowledge Bases address the use case of numerical analysis across a number of documents. Although this approach holds a lot of promise for textual documents, the presence of non-textual elements, such as tables, pose a significant challenge. This action initiates the workflow.

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Knowledge Base Artificial Inteligence Analysis AWS 118

AWS Machine Learning - AI

DECEMBER 4, 2024

This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. You can then remove resources from your Amazon Bedrock IDE project and delete domains by following the Amazon SageMaker Unified Studio documentation.

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Generative AI Applications Technical Review Software Review 104

AWS Machine Learning - AI

MAY 14, 2024

We built the RAG solution as detailed in the following GitHub repo and used SageMaker documentation as the knowledge base. Amazon SageMaker Sample and used Amazon SageMaker documentation as the knowledge base. 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

OCTOBER 7, 2024

Amazon Kendra is a fully managed service that provides out-of-the-box semantic search capabilities for state-of-the-art ranking of documents and passages. In this post, we use Amazon Kendra Web Crawler as the data source and include FAQs stored on Amazon Simple Storage Service (Amazon S3). The assistant responds with “Hello!

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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?

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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

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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Lambda Knowledge Base AWS Generative AI 92

Cloudera

JANUARY 6, 2021

Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. For more information about catalogs, refer to this documentation [link]. employeeMap = employeeRDD.map( lambda x: Row( key = int (x[ 0 ]) , empId =x[ 1 ] , empName =x[ 2 ] , empState =x[ 3 ])).

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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 91

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AWS Machine Learning - AI

JUNE 26, 2024

Knowledge base – The knowledge base is a link to an existing knowledge base, consisting of customer’s documents (such as PDF files and text files) that allows the agent to query for extra context for the prompts. In our previous post , we deployed a persistent storage solution using Amazon DynamoDB.

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AWS Machine Learning - AI

SEPTEMBER 12, 2024

You can use the BGE embedding model to retrieve relevant documents and then use the BGE reranker to obtain final results. The application sends the user query to the vector database to find similar documents. The documents returned as a context are captured by the QnA application.

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