Fine-tune, your way
Update a trained model on new data without starting from scratch. Warm fine-tune adapts in minutes and keeps what the model already learned; cold fine-tune rebuilds from your full history when the data has shifted. Freeze the model's foundation for speed and scale, or unfreeze it to adapt more deeply.