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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. API Gateway also provides a WebSocket API.

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. Post-authentication, users access the UI Layer, a gateway to the Red Teaming Playground built on AWS Amplify and React.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Why LoRAX for LoRA deployment on AWS? The surge in popularity of fine-tuning LLMs has given rise to multiple inference container methods for deploying LoRA adapters on AWS. Prerequisites For this guide, you need access to the following prerequisites: An AWS account Proper permissions to deploy EC2 G6 instances.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

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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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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AWS Communism: Part 1 (How We Cut Our Load Balancing Cost by More Than 96%)

Dzone - DevOps

Recently, Cloudflare announced their object storage service Cloudflare R2 and got much buzz from the community. However, there are use cases where it's not as easy to remove AWS' exact-but-not-cheap pricing from the game. Essentially, they solve a huge pain point by removing egress traffic cost from the content hosting equation.