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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning - AI

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. We laid the groundwork for understanding the essentials that underpin the forthcoming discussions.

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IBM and AWS Partnership Accelerates Cloud Modernization

CIO

Naturally, companies are drawn to AWS Cloud to reduce operating expenses. But they may overlook the required strategic planning and lack the development expertise to leverage AWS services and create fully optimized cloud-native apps that deliver actual cost advantages. . For more information, visit [link].

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning - AI

Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. In addition, proprietary data is never exposed to the public internet, never leaves the AWS network, is securely transferred through VPC, and is encrypted in transit and at rest.

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Advantages of Developing Cloud Native Application on AWS

Daffodil Software

Cloud-native, that leverages loosely-coupled components of cloud for application development is gaining grounds in the software industry due to its exponential scalability and increased robustness. Benefits of cloud are no more limited to shared infrastructure to host an application.

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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. Alarms can notify the development team of unexpected metric values. The function invokes the modules.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.