Foundation models come with broad language and reasoning capabilities across use cases and modalities based on the training datasets used. Models understand language and can follow instructions, but specialized workflows often require context that is restricted, specialized, or proprietary. Customizing an agent solves this challenge by shaping how the agent reasons under constraints, which tools it selects, how it structures its outputs, and how reliably it executes domain workflows.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogIn practice, the most effective agent customization combines multiple techniques in sequence. The stages of a representative pipeline are outlined below. Start with system prompts, tool and skill definitions, and retrieval to establish baseline behavior.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical Blog…Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Data Center / Cloud | General | Intermediate Technical | Tutorial | featured | LLM Benchmarking | LLM Techniques About the Authors About Vinh Nguyen Vinh Nguyen is a deep…
Data Center / Cloud NVIDIA Platform Delivers Lowest Token Cost Enabled by Extreme Co-Design Apr 01, 2026 By Ashraf Eassa and Zhihan Jiang Discuss (0) Discuss (0) L T F R E…
…Get started DSX Air provides a secure, on-demand environment for technical training and upskilling. The platform includes guided demos for skill-building with NVIDIA offerings like Cumulus Linux, NVIDIA Run:ai…
…support a wide range of AI tasks, offering improved efficiency and accuracy, and can be deployed across the full spectrum of NVIDIA hardware, from Blackwell data centers to Jetson edge devices. Four…
…Unlike LLMs, these models depend on large volumes of high-fidelity, physics-compliant data. Recent scaling-law work on computational fluid dynamics (CFD) surrogates indicates that simulation-generated training data is often…
…AI transparency and enable users to share their AI safety and resilience work. To get started, check out Step 3.7 Flash on Hugging Face, test it with your own data on…
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…Orbital Orbital develops advanced AI foundation models used to accelerate the discovery of novel cooling systems for data centers and sustainable materials. Orbital has integrated ALCHEMI Toolkit into their new OrbMolv2 model…
…like LLMs, where copying data between host and device is not a concern. In contrast, RDG ties model evaluation to rendering resources, making it ideal for AI post-processing, upscaling, or denoising…
…Trained on a large dataset of high quality 3D motion capture data, it is designed to produce natural, physically plausible motion while remaining responsive to developer input and control. For game developers…