AI Techniques

Parameter Efficient Fine Tuning (PEFT)

Parameter-Efficient Fine-Tuning (PEFT) is an innovative approach in AI and NLP that enables adapting large pre-trained models to specific tasks by updating only a small subset of their parameters, reducing computational costs and training time for efficient deployment.