Synthetic Data
Training examples generated rather than collected.
Resumen
Synthetic data is training material produced by a model or a generator instead of gathered from the world. It solves the problem that high-quality labelled data is the binding constraint on further training, and that some categories are rare or expensive to collect. It exists because a model can generate far more examples than people can label, with the caveat that the examples inherit whatever the generator gets wrong.
Grafo de tecnologías
Cómo se conecta Synthetic Data con el resto del stack.
Usado por
- Distillation technique Techniques Synthetic Data used by Distillation High ✓ source
Aplicado a
- Fine-tuning technique Techniques Synthetic Data used for Fine-tuning High ✓ source