A review of natural language processing research based on Transformer model
The emergence of ChatGPT marks the pinnacle of technology and applications in the field of Natural Language Pro-cessing(NLP).It is a deep learning based model architecture that can help people obtain information and solve problems more con-veniently.It can achieve natural language dialogue and generation,and can be applied in fields such as question answering systems,dialogue robots,and intelligent customer service.Deep learning is a deep theory of artificial intelligence,and NLP is an important development direction of deep learning.The most famous and influential model in the field of NLP is Transformer,which is the ba-sis for implementing major oracle models such as GPT,BERT,and T5.The emergence of Transformer has triggered a revolution in the field of NLP.Its self-attention mechanism has made NLP tasks more efficient and accurate,and can handle sequences of any length(character sequences,i.e.text).Its parallel processing ability makes it more efficient when processing large-scale data.By reviewing the development history of NLP,comparing and analyzing other NLP technologies and Transformer models,the advanced ideas and important position of Transformer models can be studied and demonstrated.
万方数据
维普
