NVIDIA XR AI
NVIDIA XR AI Deploy enterprise-grade AI agents that see, understand, and augment your hands-on workforce. Now available in public beta. What Is NVIDIA XR AI? NVIDIA XR AI brings enterprise…
NVIDIA XR AI Deploy enterprise-grade AI agents that see, understand, and augment your hands-on workforce. Now available in public beta. What Is NVIDIA XR AI? NVIDIA XR AI brings enterprise…
…By combining powerful open source models with built-in safety measures, NemoClaw simplifies and secures AI agent deployment. The NVIDIA Agent Toolkit, meanwhile, provides the full deployment stack —models, tools, evaluation, and…
…agent designed to assist developers through tasks like code generation, debugging, and automated pull request (PR) creation. Yet as agentic tools are integrated into workflows, how they affect the safety, reliability, and…
…Framework, NemoClaw, and NeMo Microservices for fine-tuning, evaluation, and safety using guardrails on NVIDIA models. She is a core contributor to NVIDIA open source agent skills repository and plays a key…
…Evaluating incident summary accuracy and safety Initial evaluation focuses on incident summary accuracy: how well the model, embedded in a ReAct‑style agent with tools, predicts and executes the correct resolution path…
…criteria like tone, helpfulness, and safety. How it works Human annotators rank model outputs by quality. These rankings train a reward model that predicts human preferences. The agent is then trained using…
…Next-Generation AI for Improving Building Security and Safety How OneCup AI Created Betsy, The AI Ranch HandD: A Developer Story Create Intelligent Places Using NVIDIA Pretrained Vision Models and DeepStream SDK…
…The threat model of a code agent Using an SLM to generate code that runs on the host introduces obvious security and safety risks, including: Dangerous function access. The SLM generates os…
…Read Customer Stories Enhance City Safety and Mobility The City of Raleigh used NVIDIA DeepStream and the VSS Blueprint to build AI agents and provide real-time insights 4x faster—potentially saving…
…safety, and privacy requirements apply—is a true systems engineering challenge. Moreover, an in-vehicle AI assistant cannot operate in isolation; it must seamlessly integrate with cloud-based AI agents and external…