Synthetic data generation is a data augmentation technique necessary for increasing the robustness of models by supplying training data. Explore the use of... Synthetic data...
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Modernizing the Data Center with Accelerated Networking
Accelerated networking combines CPUs, GPUs, DPUs (data processing units), or SuperNICs into an accelerated computing fabric specifically designed to optimize... Accelerated networking combines CPUs, GPUs,...
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Create, Share, and Scale Enterprise AI Workflows with NVIDIA AI Workbench, Now in Beta
NVIDIA AI Workbench is now in beta, bringing a wealth of new features to streamline how enterprise developers create, use, and share AI and machine...
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Emulating the Attention Mechanism in Transformer Models with a Fully Convolutional Network
The past decade has seen a remarkable surge in the adoption of deep learning techniques for computer vision (CV) tasks. Convolutional neural networks (CNNs)... The...
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New Self-Paced Course: Augment Your LLM Using Retrieval-Augmented Generation
Learn the basics of retrieval-augmented generation (RAG), an end-to-end architecture used to optimize the output of an LLM. Learn the basics of retrieval-augmented generation (RAG),...