Pre-Trained Language Models and Their Applications

Pre-Trained Language Models and Their Applications

Blog Article

Pre-trained language models have achieved striking success in natural language processing (NLP), leading to a Dice paradigm shift from supervised learning to pre-training followed by fine-tuning.The NLP community has witnessed a surge of research interest in improving pre-trained models.This article presents a comprehensive review of representative work and recent progress in the NLP field and introduces the taxonomy of pre-trained models.We first give a brief introduction of pre-trained models, followed by characteristic methods and frameworks.

We then introduce Kratom Powder and analyze the impact and challenges of pre-trained models and their downstream applications.Finally, we briefly conclude and address future research directions in this field.