Synthetic Data Generation

Oct 28, 2025

Accelerating AV Simulation with Neural Reconstruction and World Foundation Models

Autonomous vehicle (AV) stacks are evolving from a hierarchy of discrete building blocks to end-to-end architectures built on foundation models. This transition...
8 MIN READ
A GIF of a robot's view in a warehouse.
Oct 24, 2025

Build Synthetic Data Pipelines to Train Smarter Robots with NVIDIA Isaac Sim 

As robots take on increasingly dynamic mobility tasks, developers need physics-accurate simulations that scale efficiently across environments and workloads....
9 MIN READ
Sep 29, 2025

Streamline Robot Learning with Whole-Body Control and Enhanced Teleoperation in NVIDIA Isaac Lab 2.3

Training robot policies from real-world demonstrations is costly, slow, and prone to overfitting, limiting generalization across tasks and environments. A...
10 MIN READ
A GIF showing SynthDa in action.
Jul 11, 2025

Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa

Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring....
10 MIN READ
Jun 11, 2025

Advancing Agentic AI with NVIDIA Nemotron Open Reasoning Models

As AI progresses toward greater autonomy, the emergence of AI agents capable of independent decision-making marks a significant milestone. To function...
6 MIN READ
A GIF showing autonomous vehicles.
Jun 11, 2025

Simplify End-to-End Autonomous Vehicle Development with New NVIDIA Cosmos World Foundation Models

The shift to end-to-end planning models for powering autonomous vehicles (AVs) is increasing the demand for high-quality, physically-based sensor data. These...
7 MIN READ
Jun 11, 2025

Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2

Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. These models serve two critical roles:...
8 MIN READ
How the Llama-Nemotron 30M Post Training Dataset was created
May 14, 2025

Build Custom Reasoning Models with Advanced, Open Post-Training Datasets

Synthetic data has become a standard part of large language model (LLM) post-training procedures. Using a large number of synthetically generated examples from...
5 MIN READ
May 07, 2025

Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator

Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable...
7 MIN READ
Decorative image.
Apr 07, 2025

Evaluating and Enhancing RAG Pipeline Performance Using Synthetic Data 

As large language models (LLM) gain popularity in various question-answering systems, retrieval-augmented generation (RAG) pipelines have also become a focal...
11 MIN READ
Jan 29, 2025

Mastering LLM Techniques: Evaluation

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and...
12 MIN READ
Jan 09, 2025

Advancing Physical AI with NVIDIA Cosmos World Foundation Model Platform

As robotics and autonomous vehicles advance, accelerating development of physical AI—which enables autonomous machines to perceive, understand, and perform...
14 MIN READ
Jan 06, 2025

How to Build a Generative AI-Enabled Synthetic Data Pipeline for Perception-Based Physical AI

Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of...
7 MIN READ
Dec 03, 2024

Scaling Action Recognition Models with Synthetic Data

Action recognition models such as PoseClassificationNet have been around for some time, helping systems identify and classify human actions like walking,...
11 MIN READ
Sep 30, 2024

Improve Reinforcement Learning from Human Feedback with Leaderboard-Topping Reward Model

Llama 3.1 Nemotron 70B Reward model helps generate high-quality training data that aligns with human preferences for finance, retail, healthcare, scientific...
1 MIN READ
Aug 27, 2024

Simplifying Camera Calibration to Enhance AI-Powered Multi-Camera Tracking

This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning...
12 MIN READ