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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index. The following diagram illustrates how it works. State uncertainties clearly.

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Injection Attacks: Protecting Your Serverless Functions

Stackery

Security is Less of a Problem with Serverless but Still Critical. It might seem like a serverless function just isn’t vulnerable to code injection. With interdependence between serverless resources, user input can come from unexpected angles. At first I wanted to describe how injection attacks can happen. How Twistlock Can Help.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

With the Amazon Bedrock serverless experience, 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. Lambda uses 1024 MB of memory and 512 MB of ephemeral storage, with API Gateway configured as a REST API.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. After you create a knowledge base, you need to create a data source from the Amazon Simple Storage Service (Amazon S3) bucket containing the files for your knowledge base.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning - AI

Storm serves as the front end for Nova, our serverless content management system (CMS). Organizations such as the Interactive Advertising Bureau (IAB) and the Global Alliance for Responsible Media (GARM) have developed comprehensive guidelines and frameworks for classifying the brand safety of content.

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Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

AWS Machine Learning - AI

In the following sections, we walk you through constructing a scalable, serverless, end-to-end Public Speaking Mentor AI Assistant with Amazon Bedrock, Amazon Transcribe , and AWS Step Functions using provided sample code. Uploading audio files alone can optimize storage costs.

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4 paths to sustainable AI

CIO

Some hyperscalers offer tools and advice on making AI more sustainable, such as Amazon Web Services, which provides tips on using serverless technologies to eliminate idle resources, data management tools, and datasets. AWS also has models to reduce data processing and storage, and tools to “right size” infrastructure for AI application.