Application of Generative Neural Networks to Improve the Efficiency of Textual Communications

Neural networks and artificial intelligence today seem to be the technologies of the future, as they have a number of unique capabilities for creating, transforming and updating both text and graphic material. These possibilities, first of all, become possible due to the imitation of human cognitive functions by neural networks, including automatic self-learning and the search for independent solutions in the absence of previously used algorithms and tasks. The relevance of this study lies in the rapid growth of the market for artificial intelligence technologies and generative neural networks and, as a result, all its products. This process is accompanied by a constant search for the main forms of human interaction and new technologies, which directly affects the effectiveness of neural networks, user satisfaction with the final product generated by them.