AWS Machine Learning - AI

NOVEMBER 1, 2024

With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. The component groups are as follows.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The following diagram illustrates the architecture of the application.

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Xebia

JANUARY 15, 2024

In this blog post I will go over some reasons why you should be using design patterns in your Lambda functions Getting started To get started with AWS Lambda is quite easy, and this is also the reason why some crucial steps are skipped. Or use a compiled language like golang for your Lambda functions.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. The service users permissions are authenticated using IAM Identity Center, an AWS solution that connects workforce users to AWS managed applications like Amazon Q Business.

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AWS Machine Learning - AI

MARCH 20, 2025

It integrates with existing applications and includes key Amazon Bedrock features like foundation models (FMs), prompts, knowledge bases, agents, flows, evaluation, and guardrails. Solution overview Amazon Bedrock provides a governed collaborative environment to build and share generative AI applications within SageMaker Unified Studio.

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Xebia

MAY 8, 2024

When you deploy lambda functions using CDK and a test-driven approach, you might have noticed that the test feedback takes longer each time you add a new function. When you have a lambda function the content of this function will be bundled into one of these assets. For example, you are expecting a Lambda function.

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Dzone - DevOps

JUNE 7, 2023

AWS Lambda functions are a powerful tool for running serverless applications in the cloud. Testing and debugging Lambda functions can help you identify potential issues before they become a problem. One of the essential concepts to understand is what a test event is in AWS Lambda.

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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. When the deployment is successful (which may take 7–10 minutes to complete), you can start testing the solution.

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Xebia

JUNE 8, 2023

Use StepFunctions to simplify your serverless applications AWS StepFunctions is a great orchestrating tool for your serverless applications. When you write lambda functions that only contain logic to perform a single task they are easier to test. This will remove the need of mocking S3 GetObject calls in your unit tests.

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Modus Create

FEBRUARY 20, 2020

Lambda@Edge is Amazon Web Services’s (AWS’s) Lambda service run on the Amazon CloudFront Global Edge Network. There are numerous measures you can take to improve security with Lambda@Edge. Lambda@Edge provides you with the ability to customize headers after responses have left the origin. X-XSS-Protection.

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CircleCI

NOVEMBER 7, 2022

This tutorial covers: Using the Jest framework to set up unit testing for a serverless application. Running the tests locally. Building a pipeline to run tests and deploy the app. that simplifies the development and deployment of AWS Lambda functions. Creating a new serverless application. Lambda function.

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TechCrunch

FEBRUARY 1, 2022

The company’s model is akin to BloomTech’s (formerly Lambda School). When students apply to the program, they are provided with a home study kit in preparation for an assessment test. So far, more than 8,000 people have applied (the application fee is ?10,000,

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AWS Machine Learning - AI

NOVEMBER 21, 2024

Similarly, in text-to-speech applications, understanding the subtle nuances of human speech—from the length of pauses between phrases to changes in emotional tone—requires detailed human feedback at a segment level. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow.

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MagmaLabs

JULY 16, 2020

In the beginning, the documentation for AWS LAMBDAS can be intimidating at times, but don’t worry, in this post, I will help you with the first steps to create an AWS LAMBDA Function. What’s a Lambda Function??. AWS Lambda is a compute service that lets you run code without provisioning or managing servers.

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AWS Machine Learning - AI

MARCH 18, 2025

Providing recommendations for follow-up assessments, diagnostic tests, or specialist consultations. The process flow consists of the following steps: Audio input Patients participating in clinical trials can provide their updates, symptoms, and feedback through voice recordings using a mobile application or a dedicated recording device.

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Dzone - DevOps

MAY 27, 2023

AWS Lambda is a popular serverless platform that allows developers to run code without provisioning or managing servers. In this article, we will discuss how to implement a serverless DevOps pipeline using AWS Lambda and CodePipeline. What Is AWS Lambda?

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AWS Machine Learning - AI

JANUARY 13, 2025

The primary purpose of this proof of concept was to test and validate the proposed technologies, demonstrating their viability and potential for streamlining BQAs reporting and data management processes. The text summarization Lambda function is invoked by this new queue containing the extracted text.

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AWS Machine Learning - AI

MARCH 4, 2025

Consistency and enhanced accuracy The approach provides a consistent application of AWS Well-Architected principles across reviews, reducing human bias and oversight. Scalable architecture Uses AWS services like AWS Lambda and Amazon Simple Queue Service (Amazon SQS) for efficient processing of multiple reviews.

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AWS Machine Learning - AI

APRIL 1, 2025

Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface. Amazon Bedrock is the place to start when building applications that will amaze and inspire your users.

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Xebia

APRIL 16, 2025

You can create, edit and test Step Functions visually, without the back-and-forth copying. From Lambda-lith to Step Function A common anti-pattern in serverless architecture is creating a “Lambda-lith” – a monolithic Lambda function that handles too many responsibilities.

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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. In the next section, we discuss custom processing using Lambda function provided by Knowledge bases for Amazon Bedrock.

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Dzone - DevOps

MAY 29, 2020

This type of test allows us to verify if the interaction of the software components in our Alexa Skill, such as, VUI, lambda, or if a database works as expected. In summary, end-to-end testing tests the application's ability to satisfy all the requests that the end-user can make.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

Therefore, a managed solution that handles these undifferentiated tasks could streamline and accelerate the process of implementing and managing RAG applications. It also supports source attribution and short-term memory needed for RAG applications. A contextually relevant response is sent back to the chatbot application and user.

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Cloud That

NOVEMBER 16, 2022

Steps to Create a Lambda Function. EC2 instances are the major AWS resources, in which applications’ data can be stored, run, and deployed. We can do it through a single click by creating a function in AWS lambda. In this post, I will cover how to call instances of meta-data using Lambda. Select the use case as Lambda.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations.

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AWS Machine Learning - AI

OCTOBER 11, 2024

Figure – use case example 5 Prerequisites To deploy this solution, you must meet the following prerequisites: Have at least one AWS account with permissions to create and manage the necessary resources and components for the application. Test the solution Test the solution by sending a mock operational event to your administration account.

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LaunchDarkly

JUNE 5, 2019

As a result, they needed a way to develop, test, and roll out customer experiences for each partner site and application with minimal disruption, to avoid lengthy delays or tying up the business for long periods of time during the transition. DNS entries were not granular enough to apply to portions of traffic or applications.

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AWS Machine Learning - AI

MAY 14, 2024

An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF). The interplay between Generative AI and human input paves the way for more accurate and responsible applications. UI and the Chatbot example application to test human-workflow scenario.

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Xebia

MAY 2, 2023

The question quite simple: How can we manage K8s infrastructure and applications using one codebase and high level programming languages? In the coming paragraphs we will identify how we can write Infrastructure as Code (IaC) as well as the K8s workload definition for an application that will be deployed on AWS. InstanceType('t3.large')]

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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OverOps

SEPTEMBER 25, 2018

The Flight Recorder , JEP 328 , that he mentioned will “provide a low-overhead data collection framework for troubleshooting Java applications and the HotSpot JVM” and low-overhead heap profiling will be introduced with JEP 331. Aside from these two JEPs, we’ll be getting 2 new garbage collectors in this release. It’s hard to argue with that.

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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. The application is ready to be tested at the domain URL.

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Dzone - DevOps

OCTOBER 6, 2023

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

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The Agile Monkey

JULY 4, 2019

Have you ever wondered whether your AWS Lambda could be faster if you used a different runtime? AWS Lambda allows us to execute code in the cloud without needing to provision anything. In the past few years, it has become increasignly well-known thanks to the rise of serverless applications. Rust, Node.js 8.10, C# (.NET

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AWS Machine Learning - AI

FEBRUARY 8, 2024

With Amazon Bedrock, you can build and scale generative AI applications with security, privacy, and responsible AI. 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. The schema allows the agent to reason around the function of each API.

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