A Tutorial on the Pretrain-Finetune Paradigm for Natural Language Processing

arXiv:2403.02504v1 Announce Type: new
Abstract: The pretrain-finetune paradigm represents a transformative approach in natural language processing (NLP). This paradigm distinguishes itself through the use of large pretrained language models, demonstrating remarkable efficiency in finetuning tasks, even with limited training data. This efficiency is especially beneficial for research in social sciences, where the number of annotated samples is often quite limited. Our tutorial offers a comprehensive introduction to the pretrain-finetune paradigm. We first delve into the fundamental concepts of pretraining and …

abstract arxiv cs.ai cs.cl data efficiency finetuning language language models language processing natural natural language natural language processing nlp paradigm processing research social social sciences tasks through training training data tutorial type