How NVIDIA Uses GPT-4

The article discusses the fine-tuning of small language models (SLMs) to enhance code review accuracy, addressing challenges faced by enterprises in adopting large foundational models.

The article discusses advanced Retrieval-Augmented Generation (RAG) techniques applied to telecommunications standards, specifically O-RAN, using NVIDIA NIM microservices.

The article discusses the introduction of NVIDIA's Nemotron-4-340B family of models designed for synthetic data generation (SDG), emphasizing their application in creating high-quality training dat...

The article discusses a new AI-powered system called SPICA designed to enhance video accessibility for blind and low-vision viewers.

Writer has launched two domain-specific AI models, Palmyra-Med 70B and Palmyra-Fin 70B, enhancing NVIDIA NIM's capabilities in healthcare and finance.

The article discusses how Infosys has automated the generation of TOSCA templates for telecom network design using NVIDIA NIM and NVIDIA NeMo.

This article explores the transformative potential of diffusion models within the Architecture, Engineering, and Construction (AEC) industry, highlighting their ability to generate high-quality vis...

The article introduces DoRA, a high-performing alternative to Low-Rank Adaptation (LoRA) for fine-tuning pretrained models.

The article discusses the importance of data curation in training large language models (LLMs) and introduces NVIDIA NeMo Curator, an open-source framework designed for creating high-quality datase...

The article discusses how Amdocs is leveraging NVIDIA NIM to enhance generative AI performance while reducing operational costs in telecommunications.

The article discusses the application of Mixture of Experts (MoE) in large language model (LLM) architectures, highlighting its benefits in terms of model capacity, cost efficiency, and latency red...

The article provides an in-depth introduction to Retrieval-Augmented Generation (RAG) systems, outlining their components, implementation strategies, and best practices for enhancing accuracy and p...

The article introduces the NVIDIA GH200 NVL32, a groundbreaking superchip designed for large language models (LLMs), recommender systems, and graph neural networks (GNNs).

NVIDIA has introduced the Jetson Generative AI Lab, enabling developers to leverage generative AI capabilities on Jetson edge devices.

The article discusses the transformative impact of AI and generative AI on scientific computing, highlighting applications across various fields such as genomics, fusion simulation, nuclear physics...