Developer Tools & Techniques – NVIDIA Technical Blog
…9 MIN READ Jan 15, 2026 How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning What if your computer-use agent could learn a new…
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Why is it necessary to customize an AI agent?
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 BlogWhat is a multistage pipeline for AI agent customization?
In 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 BlogHow to Build License-Compliant Synthetic Data Pipelines for AI Model Distillation | NVIDIA Technical Blog
…Discuss (1) Discuss (1) Tags Agentic AI / Generative AI | General | NeMo | Nemotron | Intermediate Technical | Tutorial | featured | LLMs | Open Source | pandas | Synthetic Data Generation | Training AI Models About the Authors About Alex Steiner…
Building Autonomous Vehicles That Reason with NVIDIA Alpamayo | NVIDIA Technical Blog
…The Physical AI AV dataset provides 1,727 hours of driving data from 25 countries and over 2,500 cities, featuring multi-camera, LiDAR, and radar sensor coverage, supporting robust training and…
Game Development Tools, SDKs, and Partner Engines
…Technical Training NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science to solve real-world problems. Powered by GPUs in the cloud, training is…
NVIDIA Aerial
…AI Aerial Build and Train Build and train AI/ML models for RAN, physical (PHY), and media access control (MAC) layers. Explore Sionna Documentation Access pyAerial Docs Learn About Aerial Data Lake…
Healthcare and Life Sciences - Developer Resources
…Holoscan AI Sensor Processing Platform NVIDIA Holoscan is a versatile edge AI computing platform for real-time processing of streaming medical device data. Isaac for Healthcare Simulation, Training, and Deployment of AI…
Telco Industry: Find SDKs & Technical Resources
…It offers a complete workflow to build, train, and deploy GPU-accelerated AI systems that can use visual cues such as gestures and gaze along with speech in context. NVIDIA DOCA Data…
Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo | NVIDIA Technical Blog
…View all posts by Roy Tal View all posts by Roy Tal About Neha Tadimeti Neha Tadimeti is the product lead for BioNeMo Framework, NVIDIA’s Digital Biology AI training platform. Neha…
Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling | NVIDIA Technical Blog
…Recent results show that GB200 NVL72 delivers significant improvement in performance for all AI workloads, including training ( >2.6x with recent MLPerf training ), across different inference use cases ( real-time inference for…
Automate Kubernetes AI Cluster Health with NVSentinel | NVIDIA Technical Blog
Data Center / Cloud Automate Kubernetes AI Cluster Health with NVSentinel Dec 08, 2025 By Lalit Adithya , Vijay Bhagavath , Mark Chmarny , Davanum Srinivas and Nathan Taber Discuss (0) Discuss (0) L T F…