A lightweight fine-tuning technique that adds small modules to a model rather than retraining the whole thing.
"We used tools like Adam and LoRA to create company-specific adapters for general models, so we don't have to retrain an entire model or create our own."
Sometimes you still want the model to adopt a very specific style or domain fluency. Lightweight fine-tuning methods like LoRA let you add small “adapters” without retraining everything. It’s like mounting a special-purpose lens onto a camera: you still use the same body, but the view is customized. This is useful for brand voice, compliance language, or niche vocabularies.
