#lora

S-LoRA enables switching adapters in ~10ms without reloading the base model. One deployment serves hundreds of customizations.

LoRA tutorials make it look easy. Production LoRA requires learning rate adjustments, layer selection, rank tuning, and careful validation. Here's what actually works.

Full fine-tuning updates billions of parameters. LoRA updates millions. The 0.1% of parameters can capture 80% of the adaptation. Know when that's enough.