Synthetic Data
Training examples generated rather than collected.
Visão geral
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 tecnologias
Como Synthetic Data se liga ao resto do 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