Parameter-Efficient Fine-Tuning - What is parameter efficient fine-tuning GPT?

Large-scale pre-trained models, like those used in NLP, can benefit from parameter-efficient fine-tuning. The number of parameters can be drastically reduced when a pre-trained model is adapted to a new job. This becomes more difficult when working with more recent pre-trained models such as BERT, GPT, T5, and others.