Abstract
The transformer neural architecture has become a cornerstone of natural language processing (NLP) models. It is a powerful tool for language understanding and generation, enabling machines to process human language that is close to human understanding. NLP has significantly improved in recent years due to pro-gress in artificial intelligence (AI). One of the key developments that has enabled these improvements is the transformer neural network architecture. In this paper, I will explore the transformer architecture, its main concepts, and its application in NLP.
Cite
CITATION STYLE
Evstropov, A. M., Tarlakovskaya, E. A., & Sidorov, I. A. (2023). Neural network architecture «transformer»: Artificial Intelligence and its role in Natural Language Processing. ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ, 97(11), 189–192. https://doi.org/10.18411/trnio-05-2023-633
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