Example Projects for Agentic AI#
These example projects demonstrate how to build, evaluate, and deploy AI agents using NVIDIA AI Workbench. The projects showcase:
Agent architectures that connect large language models to tools and external data.
Agentic Retrieval Augmented Generation (RAG) for autonomous information retrieval.
Evaluation techniques for measuring agent quality, including LLM-as-judge approaches.
Model customization with parameter-efficient fine-tuning and reinforcement learning.
Safety and security hardening for agents before production deployment.
These examples are ideal for developers and organizations looking to:
Learn agent development through hands-on, notebook-based modules.
Build agents with NVIDIA NIM microservices, Nemotron models, and the NeMo platform.
Evaluate, customize, and secure agentic systems for production use.
Example Project on GitHub |
Description |
Clone and Open |
Support Forum |
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A six-module, hands-on workshop for building, evaluating, customizing, and securing AI agents with NVIDIA NIM and NeMo. |
The Build An Agent Workshop is also available as an NVIDIA Brev Launchable for one-click deployment on a cloud GPU.