Enhance Generative AI Model Accuracy Through High-Quality Multimodal Data Processing

NVIDIA Developer January 13, 2025
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Welcome to the NVIDIA Developer YouTube Channel Subscribe to this channel for easy-to-follow “how-to” videos to learn about the latest technologies for developers from NVIDIA. Whether you’re a student, professional developer, or tech enthusiast, discover: 🧑‍💻 CUDA Programming: Parallel computing, debugging, and performance tips ✨ Agentic & Generative AI: Build intelligent agents and generative apps with AgentIQ, NeMo, and open-source tools 🤖 Robotics: Unlock smart automation and robotics solutions 📊 Data Science & Analytics: Accelerate data workflows with GPU-powered libraries like RAPIDS and popular tools 🛠️ And More: Deep learning, computer vision, simulation, high-performance computing, SDK tutorials, and expert guides Join a vibrant developer community, stay ahead with emerging tech, get real-world examples, and tips from NVIDIA engineers. Subscribe and start creating, optimizing, and deploying innovations with NVIDIA. 🙌

Video Description

High-quality training data ensures that generative AI models learn accurately and generalize well, leading to more reliable outputs. This video provides a quick recap of a recent webinar we hosted where we explored how NVIDIA NeMo™ Curator enables developers to easily build scalable data processing pipelines to create high-quality datasets for training and customization. 📺Watch the full webinar: https://nvda.ws/40gZ8uY In this webinar, you'll: 1️⃣Learn how to build end-to-end data processing pipelines that can scale 2️⃣Explore real-world examples and performance benchmarks 3️⃣Learn how to get started quickly and seamlessly 📝Read the NVIDIA Technical Blog: https://nvda.ws/3C60QHA #GenerativeAI #NVIDIANeMo #DataScience Generative AI, NVIDIA NeMo, NeMo Curator, Data Science, AI models, training data, foundation model

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