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 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.

Generative AI 118

Generative AI AWS Lambda Technical Review 118

Xebia

OCTOBER 25, 2024

This allows you to use a Lambda function to use business logic to decide whether the call can be performed. The documentation clearly states that you should not use the usage plans for authentication. Based on those questions, you might pivot your solution’s architecture. Another other option would be a custom authorizer.

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AWS Machine Learning - AI

APRIL 1, 2025

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Skip hours of documentation research and immediately access ready-to-use patterns for complex services such as Amazon Bedrock Knowledge Bases.

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AWS Software Review Knowledge Base Artificial Inteligence 99

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. 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

OCTOBER 29, 2024

For a detailed breakdown of the features and implementation specifics, refer to the comprehensive documentation in the GitHub repository. The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases.

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Generative AI Applications AWS Knowledge Base 100

AWS Machine Learning - AI

OCTOBER 11, 2024

A streamlined process should include steps to ensure that events are promptly detected, prioritized, acted upon, and documented for future reference and compliance purposes, enabling efficient operational event management at scale. The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. Then we introduce you to a more versatile architecture that overcomes these limitations.

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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.

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Artificial Inteligence Technical Review Healthcare Systems Review 76

AWS Machine Learning - AI

NOVEMBER 21, 2024

The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications.

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AWS Machine Learning - AI

AUGUST 13, 2024

The healthcare industry generates and collects a significant amount of unstructured textual data, including clinical documentation such as patient information, medical history, and test results, as well as non-clinical documentation like administrative records. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

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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. With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts.

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AWS Applications Lambda Knowledge Base 120

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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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 71

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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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.

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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. The following diagram illustrates the solution architecture.

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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

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.

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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.

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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 following diagram illustrates the solution architecture.

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Honeycomb

MARCH 5, 2024

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add OTel and Honeycomb environment variables to your template configuration for your Lambda.

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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

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels.

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Generative AI Lambda AWS Technical Review 114

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.

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Lambda Software Review AWS Serverless 52

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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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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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. Anthropic Claude v2.1

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Artificial Inteligence Lambda Knowledge Base IoT 124

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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Stackery

APRIL 11, 2019

Lately, I’ve seen some talk about an architectural pattern that I believe will become prevalent in the near future. It will scale just fine… unless you hit your account-wide Lambda limit. 6.10, which is approaching EOL for AWS Lambda? I then sift through all this data to identify patterns and trends. What if that’s Node.js

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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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Lacework

MARCH 31, 2022

Per AWS’ documentation about their DNS firewall, . “ For scaling a deployment like this, please reference the latest documentation for AWS Firewall Manager available here. . To begin, let’s create a Lambda function to fetch a URL feed of malicious domains. This data can be easily parsed and created into a 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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Artificial Inteligence Generative AI Knowledge Base Lambda 118

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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Cloud That

NOVEMBER 17, 2022

Architecture Diagram. Steps to Setup Amazon Lambda. In other cases, however, data is received from a wide variety of unstructured documents without any rhyme or reason to the way the information is presented. It can also analyze a document such as related text, tables, key-value pairs, and selection elements. Use Cases.

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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. 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.

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