While model and agent evaluation are inextricably linked, their technical benchmarks and metrics for success are fundamentally different.
Mastering Agentic Techniques: AI Agent Evaluation | NVIDIA Technical BlogUsing the toolkit for this specific use case provides multiple benefits: Config-driven workflows The toolkit helps shift the project from a rigid script to a flexible research platform. Instead of hard-coding the interactions between agents, you define the system’s logic—including personas, tools, and constraints—entirely within a YAML configuration. This modularity makes it trivial to swap models for different tasks. For example, you can assign a high-reasoning model to handle hypothesis generation while using a faster, more cost-effective model for the code agent without modifying the underl
Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | NVIDIA Technical Blog…Enable reasoning for the NVIDIA Enterprise RAG Blueprint . Table 2 summarizes the overall impact across several sample datasets. Benefits of reasoning For any use case involving mathematical operations or complex data comparison…
Agentic AI / Generative AI Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety Mar 24, 2026 By Chintan Patel , Maryam Motamedi , Chris Alexiuk , Moon Chung and Isabel Hulseman Discuss…
Agentic AI / Generative AI NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems Apr 14, 2026 By Tom Lubowe , Christopher Chamberland , Shuxiang Cao , Ivan Basov and Jan Olle Discuss…
Agentic AI / Generative AI Introducing Nemotron 3 Super: An Open Hybrid Mamba-Transformer MoE for Agentic Reasoning Mar 11, 2026 By Chris Alexiuk and Chintan Patel Discuss (0) Discuss (0) L T…
…Prior to this role, she served as the head of marketing at HEAVY.ai, a GPU-accelerated analytics platform, and director of marketing Analytics at Ogilvy & Mather Singapore. View all posts by…
…Prior to joining NVIDIA, Makan led the Low Power AI and Audio/Voice AI software stack at Qulacomm, driving over 100 design wins and helping establish Qualcomm's Low Power AI software…
…full potential of NVIDIA AI Enterprise software. He has a decade long career in open source software, especially in the Python data ecosystem. He studied applied mathematics at the Colorado School of…
…This model already shows up in industrial AI workflows, including the Autodesk differentiable CFD solver, the Google DeepMind multibody dynamics work, and the C-Infinity spatial reasoning engine. With zero-copy interop…
…Taylor has extensive experience in product marketing, product management, and software engineering, with a focus on AI and HPC solutions. Taylor has an M.S. in Mathematics from the University of North…
…Learn more Large language models (LLMs) have set a high bar in natural language processing (NLP) tasks such as coding, reasoning, and math. However, their deployment remains resource-intensive, motivating a growing…