What it is
AI training feeds examples and targets into a model so it can spot patterns and improve its predictions.
What goes into it
- Clean, representative data
- Clear objectives and loss functions
- Evaluation sets that match the real world
Things to check
- Data quality and bias
- Overfitting versus generalizing
- How often you need to retrain as data changes