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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This scalability allows for more frequent and comprehensive reviews.

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

AWS Machine Learning - AI

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. They include features such as guardrails, red teaming, and model evaluation.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training. The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow.

Video 102
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

To address these challenges, we introduce Amazon Bedrock IDE , an integrated environment for developing and customizing generative AI applications. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE. Next, select Generative AI application development from the available profiles.

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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

We currently have cloud vendors that offer end-to-end solutions from the developer experience down to the hardware: What if cloud vendors focus on the lowest layer, and other (pure software) vendors on the layer above? Margins aren't so bad and vendor lock-in is still pretty high. Maybe owning the lowest layer isn't so bad?

Cloud 351
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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

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Top 24 RPA tools available today

CIO

Top RPA tools RPA tools have grown to be parts of larger ecosystems that map out and manage the enterprise computing architecture. AI routines can also help look for patterns that may speed up the bots in the future. These systems can manage the various APIs and services while also helping the data flow with extra bots.

Tools 218