AI Research
NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation
NVIDIA's new open-source framework streamlines synthetic data creation for multimodal AI model training.
We present NeMo Data Designer (NDD), an open-source, general-purpose framework for multi-modal synthetic data generation (SDG). Designed to be intuitive to use, NDD provides a declarative configuration format in which human and/or agent users define each dataset column, with colu...
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ArXiv CS.AI
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ArXiv CS.AI
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NeMo Data Designer democratizes synthetic data creation by offering a modular, agent-driven approach to constructing high-quality, multimodal datasets. This framework effectively addresses the growing scarcity of diverse, human-labeled training data required to refine large-scale foundation models.
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