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How the world can tackle the power demands of artificial intelligence

CIO

The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. Amazon SageMaker AI provides the ability to host LLMs without worrying about scaling or managing the undifferentiated heavy lifting.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment. Save your seat today! September 24th, 2024 at 11:00 AM PDT, 2:00 PM EDT, 7:00 PM BST

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Dulling the impact of AI-fueled cyber threats with AI

CIO

Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword. Take for instance large language models (LLMs) for GenAI.

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. 70B model showed significant and consistent improvements in end-to-end (E2E) scaling times.