Evaluating Gen AI’s potential requires understanding the people, platforms and processes critical to its adoption. #ad To learn more, download this white paper made possible by DAC. https://lnkd.in/gXgeqesN
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🧠 Your brain gives speech the special treatment 🗣️👂 A 2021 study showed that speech perception is so strong that it circumvents the primary auditory cortex! ⚡ No wonder there’s so much potential in #voiceTech — and training *your* voice to be the best it can be. Learn more about the science that powers our tool: https://lnkd.in/dwN8xDxU #edTech
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SW Talent Sourcer sourcing for GPU related Sr. SW and/or Backend AI Platform-Robotics Engineers, Prin. SW Sys. SW (Apache Big Data), Windows AI SW Engineers, Prin. Sys. Arch. Omniverse and Offensive Security Researchers.
🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://dy.si/hKxesq
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://dy.si/y5m79S
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://bit.ly/4cHk8Ah
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://dy.si/RHXiT
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://bit.ly/3Lynd9z
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://dy.si/fGxwh
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👨💻Self-Paced Learner |🌩️ Cloud Evangelist | 🐍 Python & ☕ Java Dev | 🚀 AWS Explorer | 🌐 Terraform Tinkerer | 🐧Linux Admin |🐳 Docker Captain | Git & Github |
hurray 😅 Just implemented ⌛ some helmet⛑ detection in traffic🚦using yolov8. Ultralytics YOLOv8 is the latest version of the YOLO (You Only Look Once) object detection and image segmentation model. Steps in this Project. * Install YOLOv8 * CLI Basics * Inference with Pre-trained COCO Model * Roboflow Universe * Preparing a custom dataset * Custom Training * Validate Custom Model * Inference with Custom Model AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society Yolo Group #objectdetection #deeplearning
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://bit.ly/4c5tmVW
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🌟 New from #NVIDIAResearch: Weight-Decomposed Low-Rank Adaptation (DoRA). A groundbreaking advancement in fine-tuning technology that's set to revolutionize how we optimize pretrained models without increasing inference costs. 👀 https://bit.ly/4dnZ2H4
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