| Watch the fireside chat with NVIDIA CEO Jensen Huang at SIGGRAPH. Register now ❯ | | | | This newsletter was curated based on your topic preferences. Click here to update. | | |
| Understanding Diffusion Models: An Essential Guide for AEC Professionals |  | | Generative AI, the ability of algorithms to process various types of inputs—such as text, images, audio, video, and code—and generate new content, is... | | | | | |
| Enhance Multi-Camera Tracking Accuracy by Fine-Tuning AI Models with Synthetic Data | | | Large-scale, use–case-specific synthetic data has become increasingly important in real-world computer vision and AI workflows. That's because digital twins... | | | | | |
| Just Released: nvmath-python | | | nvmath-python is an open-source Python library that provides high performance access to the core mathematical operations in the NVIDIA Math Libraries. Available... | | | | | |
| Deploy Multilingual LLMs with NVIDIA NIM | | | Multilingual large language models (LLMs) are increasingly important for enterprises operating in today's globalized business landscape. As businesses expand... | | | | | |
| Powering the Future of AI-Enabled Medical Devices with NVIDIA Holoscan and RTI Connext | | | The demand for real-time insights and autonomous decision-making is growing across industries, and healthcare and medical devices are no exception. Relying on... | | | | | |
| Maximize GPU performance with Near-Real-Time Usage Stats on NVDashboard v0.10 | | | At NVIDIA GTC 2024, the RAPIDS team demonstrated new features on NVDashboard v0.10 a dashboard that runs on JupyterLab, for monitoring GPU usage to help... | | | | | |
| Just Released: cuDSS 0.3.0 | | | cuDSS (Preview) is an accelerated direct sparse solver. It now supports multi-GPU multi-node platforms, and introduces a hybrid memory mode. | | | | | |
| Addressing Hallucinations in Speech Synthesis LLMs with the NVIDIA NeMo T5-TTS Model | | | NVIDIA NeMo has released the T5-TTS model, a significant advancement in text-to-speech (TTS) technology. Based on large language models (LLMs), T5-TTS produces... | | | | | |
| Advancing Security for Large Language Models with NVIDIA GPUs and Edgeless Systems | | | Edgeless Systems introduced Continuum AI, the first generative AI framework that keeps prompts encrypted at all times with confidential computing by combining... | | | | | |
| Checkpointing CUDA Applications with CRIU | | | Checkpoint and restore functionality for CUDA is exposed through a command-line utility called cuda-checkpoint. This utility can be used to transparently... | | | | | |
| How Cutting-Edge Computer Chips are Speeding Up the AI Revolution | | | Featured in Nature, this post delves into how GPUs and other advanced technologies are meeting the computational challenges posed by AI. | | | | | |
| Federated XGBoost Made Practical and Productive with NVIDIA FLARE | | | XGBoost is a highly effective and scalable machine learning algorithm widely employed for regression, classification, and ranking tasks. Building on the... | | | | | |
| Introducing DoRA, a High-Performing Alternative to LoRA for Fine-Tuning | | | Full fine-tuning (FT) is commonly employed to tailor general pretrained models for specific downstream tasks. To reduce the training cost, parameter-efficient... | | | | | | | | | |
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