Not accurate : ) our models are used extensively across support workflows.
SOFTWARE
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NVIDIA NeMo Custom Generative AI Models on Amazon EKS
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Watch this YouTube live stream to hear NVIDIA experts discuss building and using custom generative AI models with NVIDIA NeMo on Amazon EKS. Learn how businesses can benefit from generative AI in this special episode of Containers from the Couch.
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LLM Prompt Injection via Invisible Instructions in Pasted Text
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PoC: LLM prompt injection via invisible instructions in pasted text
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TensorRT Accelerates SDXL Turbo and Stable Video Diffusion
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Great to see TensorRT accelerated versions of SDXL Turbo and Stable Diffusion running so well on @nvidia hardware!
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Technical strategies for LLM implementation
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Ca dépend du client on peut partir sur un fine tuning d'un LLM existant si il y a des data dispo, sur du hosting, ou utiliser des API. C'est des utilisations, des budgets et besoins différents.
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Custom GPT #6 worldwide; shares GPT Builder Toolkit
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My Custom GPT is #6 worldwide in Coding: Screenshot to Code. That's why I am happy to share with you the GPT Builder Toolkit. – 100+ Mega-Instructions for GPT Building I spent hundreds of hours creating.
– How-to Guides
– Lifetime Access & Updates Everyone hides their -
SML Integration into iOS via AirPods Expected
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Yep, me too. Although I assume it some kind of SML will be deeply integrated into iOS and be available via AirPods. Would make much more sense.
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NVIDIA Microsoft Azure AI Foundry Enterprise Applications
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NVIDIA and @Microsoft are helping enterprises build a new era of intelligent applications by bringing the NVIDIA AI foundry service to @Azure
. Build custom #generativeAI applications deploy on Azure with NVIDIA AI Enterprise. -
Future of Hardware: As Accessible as Making Apps
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agreed. there's some point in the future where making hardware is as easy as making apps
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Replit API Deployment and Auto-Scalable Server Infrastructure
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The API calls a Replit with my server and returns the website for you to use, fully built! Honestly, big props to @amasad
, I have been using auto-scalable deployments and they haven't failed me once!