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Data Beginner Also known as: Dati sintetici

Synthetic Data

Training data generated by another AI model instead of collected from humans.

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In practice

It is now a pillar of modern training: big models produce examples to train smaller ones (distillation) or to cover rare cases. It must be filtered carefully, because generator errors compound in the final model. Nvidia, Meta, and Anthropic use it heavily.

Related terms

Pretraining SFT Distillation Fine-tuning

Seen in the wild

6 entries mentioning it
  1. NVIDIA Isaac GR00T N1.5: robotic foundation model with synthetic data pipeline
    High
  2. NVIDIA GR00T: foundation model for humanoid robots with Isaac Sim
    High
  3. Nemotron-4 340B: NVIDIA's model for generating synthetic training data
    Medium
  4. Microsoft RoboGen: generating robot tasks, skills and environments from text
    Medium
  5. Phi-1.5: big-model reasoning in just 1.3 billion parameters
    High
  6. Phi-1: 1.3B parameters beating models 10x larger on code
    High
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