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 Blog… NVIDIA works with game studios to improve AI reliability in large UE environments by combining syntax-aware code indexing, hybrid search techniques, and GPU-accelerated vector search infrastructure. The objective is to improve reliability and reduce review overhead in production Unreal pipelines. …
… These AI building blocks are used to create robust, scalable, and reliable AI agents for any domain or industry. To demonstrate how to build an AI agent with the AI-Q Blueprint, we created the AI-Q Research Assistant Blueprint . It shows how an AI agent can synthesize hours of research in minutes. …
… An agent might use a top-tier model but fail because it hallucinated a JSON schema for an API or entered an infinite loop after a failed search. …
… AI Agent for Enterprise Research Develop AI agents that continuously process and synthesize multimodal enterprise data, reason, plan, and refine to generate comprehensive reports. …
… Discuss 0 Discuss 0 Tags Agentic AI / Generative AI | Data Science | Developer Tools & Techniques | General | NeMo | NeMo Microservices | NeMo Retriever | Nemotron | Intermediate Technical | Tutorial | Build AI Agents | featured | LLM Techniques | LLMs | Retrieval Augmented Generation RAG About the… …
… In this example, we leverage the fact that LangChain’s FAISS from documents method conveniently generates the embeddings for the document chunks and also stores them in the FAISS vector store in one function call. from langchain community.vectorstores import FAISS from langchain nvidia ai endpoints… …
Agentic AI / Generative AI Mastering Agentic Techniques: AI Agent Customization May 20, 2026 By Edward Li , Vanessa Bellotti and Rebecca Kao Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike Customizing AI agents enhances their performance on specialized tasks by refining reasoning, t… …
… Increase Reliability Put evaluation at the center of the development workflow with built-in commands that test agents against datasets, score outputs with customizable metrics, and generate detailed reports—so you can iterate faster and ship more reliable AI agents. …
… This seamless path from AI factory to in-vehicle execution enables continuous innovation while meeting the strict latency, privacy, and reliability requirements of in-vehicle AI. …
… More enhancements in vGPU 20 In addition to supporting NVIDIA RTX PRO 4500 Blackwell Server Edition, vGPU 20 introduces the following enhancements designed to accelerate modern applications and ensure consistent performance within virtualized environments: New NVIDIA AI Virtual Workstation vWS Tool… …