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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.

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

By Bob Ma According to a report by McKinsey , generative AI could have an economic impact of $2.6 Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

Generative and agentic artificial intelligence (AI) are paving the way for this evolution. AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

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AI Startup Writer Authors $200M Round At $1.9B Valuation

Crunchbase News

San Francisco-based Writer locked up a $200 million Series C that values the enterprise-focused generative AI platform at $1.9 Writer’s platform is designed to help businesses use large language models to improve workflows and offers AI solutions that can execute complex enterprise operations across systems and teams.

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

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Consider a global retail site operating across multiple regions and countries. Choose Create project. Choose Continue.

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Amazon Bedrock Marketplace now includes NVIDIA models: Introducing NVIDIA Nemotron-4 NIM microservices

AWS Machine Learning - AI

About the NVIDIA Nemotron model family At the forefront of the NVIDIA Nemotron model family is Nemotron-4, as stated by NVIDIA, it is a powerful multilingual large language model (LLM) trained on an impressive 8 trillion text tokens, specifically optimized for English, multilingual, and coding tasks.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. To learn more about how to build and scale generative AI applications, refer to Transform your business with generative AI.