# Training types
<a name="customizing-models-training-types"></a>

Training types determine how model weights are updated during customization. Every [customization technique](customizing-models-techniques.md) (SFT, DPO, RFT) can be combined with either training type. Choose based on your quality requirements, compute budget, and use case.

[LoRA](customizing-models-lora.md) — Low-Rank Adaptation  
Trains a small set of adapter weights. Lower cost, faster training. Required for [continuous customization](customizing-models-continuous.md).

[FFT](customizing-models-fft.md) — Full Fine-Tuning  
Updates all model weights. Higher compute, deeper customization. Best for large domain shifts.