SLMs are well-positioned for the agentic era because they use a narrow slice of LLM functionality for any single language model errand. LLMs are built to be powerful generalists, but most agents use only a very narrow subset of their capabilities. They typically parse commands, generate structured outputs such as JSON for tool calls, or produce summaries and answer contextualized questions. These tasks are repetitive (up to the differences in prompt payloads), predictable, and highly specialized—well within the scope of specialized SLMs. An LLM trained to handle open-domain conversations is o
How Small Language Models Are Key to Scalable Agentic AI | NVIDIA Technical Blog…The advantage is most pronounced at the service levels required for interactive agents, where prior platforms may encounter an efficiency wall where costs rise steeply to incrementally improve responsiveness. Vera Rubin remains…
…NVIDIA ACE expanded on-device AI capabilities with production-quality text-to-speech, improved language recognition, and the upcoming Nemotron 3 Nano 4B small language model, enabling more interactive and expressive AI…
…In autonomous agents, attackers hijack the agent’s goals, ensuring continued pursuit of attacker-defined goals. Persistence enables attackers to repeatedly exploit hijacked states, increasing the likelihood of downstream impact. In agentic…
NVIDIA DeepStream SDK NVIDIA DeepStream’s multi-platform support gives you a faster, easier way to develop and deploy real-time video streaming pipelines for generative AI agents and applications. You can…
…models are trained, fine-tuned, evaluated, and integrated into agentic workflows at scale. This cloud-based environment enables rapid iteration, continuous improvement, and validation of AI assistants using enterprise data, simulation, and…
…Algorithms like Group Relative Policy Optimization (GRPO) power this transition, enabling reasoning-grade models to continuously improve through iterative feedback. Unlike standard supervised fine-tuning, RL training loops are bifurcated into two…
…Cosmos Transfer 2.5 enables scalable, photorealistic simulation grounded in physics, supporting diverse environment and lighting conditions, while Cosmos Predict 2.5 generates realistic future world states from multimodal inputs and improves…
Computer Vision / Video Analytics Build a Video Search and Summarization Agent with NVIDIA AI Blueprint Jan 06, 2025 By Samuel Ochoa , Shaunak Gupte , Shivam Lakhotia , Unnikrishnan Sreekumar , Tushar Khinvasara , Ashwani Agarwal , Prashant…
…Digital agents : monitoring and assistance agents powered by surgical foundation models (for example, an agent driven by vision language model (VLM) that observes a live camera stream and suggests actions). Digital twin…
…In the Deploy phase, Agentic applications enable agentic coverage optimization and intelligent energy savings improvements. Central to this phase is the recursive data foundation — production outputs feed back into the training loop…
