Parameter-Efficient Fine-Tuning (PEFT) adapts large AI models by updating only a small subset of parameters instead of retraining the entire model. This significantly reduces computational requirements.
Voice AI providers use PEFT to customize language models for industries, languages, and business workflows while lowering training costs, reducing infrastructure usage, and accelerating deployment.