Examples Load Balancer Serverless 
AWS Machine Learning - AI
NOVEMBER 6, 2024
The custom header value is a security token that CloudFront uses to authenticate on the load balancer. For example, let’s say you want to add a button to invoke the LLM answer instead of invoking it automatically when the user enters input text. Choose a different stack name for each application. See the README.md
AWS Machine Learning - AI
NOVEMBER 7, 2024
It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices. API Gateway is serverless and hence automatically scales with traffic. The component groups are as follows.
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AWS Machine Learning - AI
SEPTEMBER 3, 2024
That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.
AWS Machine Learning - AI
OCTOBER 31, 2024
With this solution, you can interact directly with the chat assistant powered by AWS from your Google Chat environment, as shown in the following example. On the Configuration tab, under Application info , provide the following information, as shown in the following screenshot: For App name , enter an app name (for example, bedrock-chat ).
AWS Machine Learning - AI
MARCH 13, 2025
For example, MaestroQA offers sentiment analysis for customers to identify the sentiment of their end customer during the support interaction, enabling MaestroQAs customers to sort their interactions and manually inspect the best or worst interactions. For example, Can I speak to your manager?
AWS Machine Learning - AI
APRIL 29, 2025
As an example, the OWASP Top 10 for LLMs can serve as a comprehensive framework for identifying and addressing critical AI vulnerabilities. For example, you can specify input features such as gender or age, and SageMaker Clarify will run an analysis job to detect imbalances in those features.
Gorilla Logic
SEPTEMBER 5, 2019
In this Fn Project tutorial, you will learn the basic features of Fn Project by creating a serverless cloud and installing it on your own infrastructure. This will illustrate some of the most useful concepts of Fn Project and help you get familiarized with this lightweight and simple serverless platform. . What is Serverless? .
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