The importance of gpt-3 technology for modern and future linguistics

Authors

  • B.L. Pysarenko

Keywords:

algorithm; deep learning; text; transformer; artificial intelligence

Abstract

This study provides information on GPT-3 technology and its role and significance in modern applied linguistics and related specialties, and the impact of artificial intelligence on user interaction with computers through language. The methodological basis of the work is a systematic approach, the principle of scientific objectivity, critical and structural-systematic approach to the literary and source base of work. The specifics of the research topic involves the use of comparative and structural methods, as well as generalization, which made it possible to identify changes in versions of technology, trace its main stages of development and identify advantages and disadvantages of artificial intelligence in text generation.

References

Brown Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav. «Language Models are Few-Shot Learners». – Baltimore, Maryland, 2020. – 75 p. URL: https://arxiv.org/pdf/2005.14165v4.pdf. Дата звернення: 07.03.21.

Sagar, Ram. OpenAI releases GPT-3, the largest model as far. Analytics India Magazine. 2020. URL: https://analyticsindiamag.com/open-ai-gpt-3-language-model/. Дата звернення: 07.03.21.

Published

2021-05-06

Issue

Section

Філологія