#AI finds reason to tap industry data lakes in the latest 2025 predictions.?? https://nvda.ws/3ZmLNSz Hear from our experts who predict a rise in intelligent stores, a new class of robots and breakthroughs in industries globally.??
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Preventing disease. Building smart cities. Revolutionizing analytics. These are just a few things happening today where AI initiatives are creating real results for businesses.
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https://nvda.ws/2nfcPK3
NVIDIA AI的外部链接
- 所属行业
- 计算机硬件制造业
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- 超过 10,001 人
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动态
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NVIDIA AI转发了
???deepset Studio GA : Build AI Applications Faster with Haystack ?? We're thrilled to announce the general availability of deepset Studio - our comprehensive toolkit that helps AI engineers build and test custom AI applications with ease. Thanks to feedback from our early beta users, what started as a visual pipeline designer for Haystack has evolved into a complete prototyping and development environment. Now, you can: ? Jump start development with a library of common use case templates ? Build and edit AI pipelines with drag-and-drop simplicity ? Upload your data or use our sample data sets to get started ? Access Haystack's full component library or customize your own ? Deploy prototypes instantly to collect feedback ? Test and debug in an interactive playground ? Export to YAML or Python code ? Use our native integration with NVIDIA AI NIM and the NVIDIA API catalog ????Ready to start building? Sign up for free: https://lnkd.in/esbgqPEu ???Want to learn more? Read more about deepset Studio on our blog: https://lnkd.in/dFc-BfDm ???Got questions or feedback? Join our Haystack Discord community: https://lnkd.in/eNE9cgpU #AIEngineering #AIApplications #AIOrchestration #Haystack #LLM #MLOps
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Model merging combines weights from multiple customized LLMs to boost resource use and enhance successful models. Introductory deep dive ?? https://nvda.ws/3ZmkJTB Learn how this approach: ? increases experimentation efficiency, and ? saves costs.
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?? Scientists at the Massachusetts Institute of Technology developed a tool that uses #generativeAI and physics to create realistic satellite images to show future flood scenarios, helping communities prepare for climate change. https://nvda.ws/497ZOXJ
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Technical deep dive: Learn how to build a human-in-the-loop AI agent with NVIDIA NIM. ?? https://nvda.ws/3YXqu8U Discover how LLM-powered #AIagents streamline complex tasks while ensuring human oversight, offering a powerful, scalable solution for any AI-driven workflow.
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From chatbots to lifelike avatars: discover how 2D and 3D digital humans are reshaping #AI interfaces and user experiences. Tech blog ?? https://nvda.ws/4eKLCoz
Expanding AI Agent Interface Options with 2D and 3D Digital Human Avatars | NVIDIA Technical Blog
developer.nvidia.com
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?? ?The world’s most flexible sound machine? With text and audio inputs, this new #generativeAI model, named Fugatto, can create any combination of music, voices, and sounds. ?? Read more in our blog by Richard Kerris ?? https://lnkd.in/gmgvqPkn #NVIDIAResearch Note: Some music, sounds, and the voice of NVIDIA CEO Jensen Huang used in this video are AI generated.
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NVIDIA AI转发了
?? AI applications can get complex. In our latest article with NVIDIA AI, we show how you can visually curate these complex AI applications, making them easier to reason about and iterate over them quickly. In this article, discover how to use deepset Studio – our free AI prototyping platform for Haystack – and NVIDIA NIM together to:? · Design common AI pipelines with Haystack like RAG with full control over each step such as embedding retrieval, LLM, prompt and more.? · Export them as Python code or YAML to run or deploy them yourself. · Do all this while still having the option to use self-hosted models such as NIM that you can deploy yourself. ?? Read the full article here: https://lnkd.in/g8fAp5Yh ? Sign up for deepset Studio here: https://lnkd.in/gy6UJzwW Tuana ?elik Anshul Jindal Meriem Bendris
Design Haystack AI Applications Visually with deepset Studio & NVIDIA NIMs | Haystack
haystack.deepset.ai
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One line of code. 20X faster data processing. ? ?? RAPIDS cuDF accelerates pandas code processing 7.2M rows in an interactive viz dashboard. ?? Try it yourself on Colab: https://nvda.ws/3X4T2fA
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Researchers from The Johns Hopkins University and Stanford University trained a surgical robot using instructional videos which is a significant step forward toward a new frontier in medical robotics. ?? ?? https://nvda.ws/3Z1X3Cz
Robot that watched surgery videos performs with skill of human doctor
hub.jhu.edu