MLOps – 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 BlogNetworking / Communications – 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…
Content Creation / Rendering – 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…
Simulation / Modeling / Design – 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…
Computer Vision / Video Analytics – 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…
How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo | NVIDIA Technical Blog
…The system combines AlpaSim simulator microservices , NVIDIA Physical AI Open Datasets , and distributed NVIDIA Cosmos-RL training framework into a scalable post-training pipeline. Built to scale seamlessly from a single GPU…
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…
Inference Performance for Data Center Deep Learning
…View More Performance Data Training to Convergence Deploying AI in real-world applications requires training networks to convergence at a specified accuracy. This is the best methodology to test whether AI systems…
Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron | NVIDIA Technical Blog
…0) Discuss (0) Tags Agentic AI / Generative AI | Developer Tools & Techniques | General | NeMo | Intermediate Technical | Deep dive | AI Agent | featured | GB300 | Megatron | NVIDIA Research | Training AI Models About the Authors About Hao…
NVIDIA Megatron Core
NVIDIA Megatron Core Train generative AI models at scale. NVIDIA Megatron Core is a composable training library for large-scale generative AI. It provides GPU-optimized building blocks for training and post…