USING BIG LANGUAGE MODELS IN BUSINESS

Dostov Maxim Konstantinovich

The presented scientific article examines the directions of using large language models in business. The topic is relevant, since artificial intelligence can significantly develop business activities, eliminate problems, improve customer experience, reduce costs, and so on. However, at the moment, only a few companies in Russia use artificial intelligence; even large language models that have the largest range of activities are rare in practice. The key reason is either a lack of understanding of the role of this technology for business, or the presence of fears. The scientific significance of the work lies precisely in solving these problems - proving the high role of large language models, as well as indicating measures to eliminate the most common risks. The practical significance lies both in the already indicated practical recommendations and in the practice-oriented author's test algorithm, which will allow companies to simply but effectively indicate in which direction the use of large language models may be beneficial for them, or whether it does not make sense for them.

Keywords:large language models, improving customer experience, automated analysis, content generation, digital practice