DEVELOPING A LANGUAGE MODEL FOR STUDENT LEARNING BASED ON NEURAL NETWORK-TRANSFORMERS

UDC 004.032.26
DOI: 10.36871/2618-9976.2023.10.004

Authors

Eugene Yu. Shchetinin,
Professor, Department of Mathematics, Faculty of Information Technologies and Big Data Analysis, Financial University under the Government of the Russian Federation, Moscow, Russia

Abstract

Language model of learning is important in education and can greatly improve the learning process of students. This paper presents a language model of student learning based on neural networktransformers. The creation of effective and flexible speech technology models based on them makes it possible to adapt the educational process to individual needs of students and improve its efficiency.

Keywords

Language learning model, Neural network-stransformers