APPLICATION OF LARGE LANGUAGE MODELS IN EDUCATIONAL PROCESS

The article discusses the use of large language models (LLMs) in the educational process. The first part provides a brief historical overview of the emergence and development of LLMs, from their early stages to modern achievements, including GPT models and transformers. The second part formulates the basic principles of composing effective queries (prompts) for LLMs, such as understanding the context, goals and roles, structuring queries and taking into account the specifics of the task and target audience. The third part presents practical examples of constructing good and bad queries in the GigaChat and Yandex GPT services, which illustrate how the correct formulation of queries can significantly affect the quality and relevance of the generated responses. The article emphasizes the importance of proper use of LLM technologies to improve the quality of education and improve interaction between students and teachers. The purpose of the study is to develop and verify approaches to the effective use of LLMs to automate and improve the quality of educational processes, including the preparation of tests and educational materials. The work is aimed at school and college teachers, higher education teachers, researchers and experts in the field of artificial intelligence, seeking to integrate modern large language models into the educational environment to improve the efficiency and quality of learning. Particular attention is paid to the analysis of the advantages and limitations of the use of these technologies, as well as the ethical aspects of their use in educational institutions. The prospects for the further development of LLMs and their potential for transforming educational practice are considered.

large language models / LLM, GPT, transformers, educational process, GigaChat, Yandex GPT, query writing, prompts, learning automation

Nazarov D. M., Begicheva S. V. Application of large language models in educational process. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2024;3(68):430—436. DOI: 10.25683/VOLBI.2024.68.1057.