The work is dedicated to the study of large language models (LLMs) and approaches to improving their efficiency in a new service. The rapid development of LLMs based on transformer architecture has opened up new possibilities in natural language processing and the automation of various tasks. However, fully utilizing the potential of these models requires a thorough approach and consideration of numerous factors.
The subject of the research is theoretical and methodological issues of digitalization of the process of work of an HR manager with personnel and justification of the possibility of investing in digitalization of the enterprise.
With the development of technological tools, it is increasingly common to meet systems which are using online messaging applications for communication with users. This process occurs with the help of so-called chatbots. Chatbot is a programmable application in which the algorithm of interaction with the user, provided by developers, is implemented. The bot provides information in the form of text or audio messages.
The development of social networks, personalized assistants, chatbots, and computational algorithms makes the media think about new prospects. Users have long departed from the format of receiving information through one channel. Today, audiences consume content through a variety of channels, from paper noses to receiving data through eyepiece lenses. Under these conditions, journalism must experiment, because no one can predict the trajectory of further transformations of the media system.