AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The workflow includes the following steps: Amazon WorkMail manages incoming and outgoing customer emails.

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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.

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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. On AWS, you can use the fully managed Amazon Bedrock Agents or tools of your choice such as LangChain agents or LlamaIndex agents. Finally, you can build your own evaluation pipelines and use tools such as fmeval.

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AWS Machine Learning - AI

MARCH 4, 2025

Integration with the AWS Well-Architected Tool pre-populates workload information and initial assessment responses. Integration with the AWS Well-Architected Tool Creates a Well-Architected workload milestone for the assessment and prepopulates answers for WAFR questions based on generative AI-based assessment.

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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.

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Artificial Inteligence Generative AI Travel AWS 111

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. We encourage you to explore this solution and integrate it into your workflows.

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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.

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Lambda Generative AI AWS Software Review 65

CIO

NOVEMBER 2, 2023

He and other industry observers and IT leaders note, however, that an abundance of tools, managed services, and platforms are giving CIOs greater visibility into cloud costs and that alone is helping to lower the bills. After some time, people have understood the storage needs better based on usage and preventing data extract fees.”

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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.

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AWS Machine Learning - AI

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. In parallel, the AVM layer invokes a Lambda function to generate Terraform code. For creating lambda function, please follow instructions.

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AWS Applications Lambda Knowledge Base 129

Perficient

MARCH 27, 2025

Pulumi is a modern Infrastructure as Code (IaC) tool that allows you to define, deploy, and manage cloud infrastructure using general-purpose programming languages. Storage: S3 for static content and RDS for a managed database. Pulumi (IaC Tool) Pulumi is at the top, managing the provisioning of AWS resources through code.

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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

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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

APRIL 24, 2024

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. For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Instead of handling all items within a single execution, Step Functions launches a separate execution for each item in the array, letting you concurrently process large-scale data sources stored in Amazon Simple Storage Service (Amazon S3), such as a single JSON or CSV file containing large amounts of data, or even a large set of Amazon S3 objects.

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AWS Machine Learning - AI

DECEMBER 4, 2024

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI. To get started, you need to build a project.

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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

FEBRUARY 6, 2024

The workflow consists of the following steps: A user accesses the regulatory document authoring tool from their computer browser. The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. The following diagram illustrates the solution architecture.

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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.

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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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Xebia

AUGUST 29, 2023

Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements. Integration with AWS Services: AWS Batch seamlessly integrates with other AWS services, such as Amazon S3, AWS Lambda, and Amazon DynamoDB.

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AWS Machine Learning - AI

JUNE 26, 2024

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining. The following diagram illustrates the technical architecture.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. 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). The schema allows the agent to reason around the function of each API.

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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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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

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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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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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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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AWS Machine Learning - AI

APRIL 30, 2025

From automated reconciliations to tools that manage the entire close process, FloQast has seen firsthand how organizations, big and small, struggle to keep pace with their accounting needs as they scale. Data sanitization workflow kicks off using AWS Step Functions consisting of AWS Lambda functions.

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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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Mentormate

JANUARY 7, 2021

Below is a review of the main announcements that impact compute, database, storage, networking, machine learning, and development. 1ms Billing Granularity Adds Cost Savings to AWS Lambda. Since it launched in 2014, Lambda’s pricing model has remained pretty much unchanged — until now. Container Image Support in AWS Lambda.

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AWS Machine Learning - AI

JULY 2, 2024

For production use, it is recommended to use a more robust frontend framework such as AWS Amplify , which provides a comprehensive set of tools and services for building scalable and secure web applications. If the validation is successful, the Lambda function queries the knowledge base using the provided patient or list of patient’s IDs.

Knowledge Base 132

Knowledge Base Artificial Inteligence Lambda Authentication 132

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

MARCH 20, 2025

Using Amazon Bedrock allows for iteration of the solution using knowledge bases for simple storage and access of call transcripts as well as guardrails for building responsible AI applications. This step is shown by business analysts interacting with QuickSight in the storage and visualization step through natural language.

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AWS Machine Learning - AI

AUGUST 15, 2024

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. Users can also send requests to this Lambda function through Amazon Alexa devices.

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CIO

MARCH 6, 2023

The speed of innovation is really starting to accelerate,” says Jefferson Frazer, director of edge compute, delivery, and storage at Shutterstock, which is headquartered in the Empire State Building. “If To do so, the team leverages tools from AWS and Databricks, as well as custom Jupyter notebooks.

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AWS Machine Learning - AI

OCTOBER 23, 2024

A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. Prerequisites To implement this solution, you need the following: An AWS account with permissions to create resources in Amazon Bedrock, Amazon Lex, Amazon Connect, and AWS Lambda.

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