ANALYSIS OF TECHNICAL DOCUMENTATION DATA IN THE FIELD OF IT USING A PRE-TRAINED TRANSFORMER LANGUAGE MODEL

Shcherbanich Filipp E., Romashkova Oxana N.

The article is devoted to the problems of development and analysis of technical documentation in the field of IT projects. With the help of a large language model of a generative pre-trained transformer, the sources of scientific literature were analyzed. The following problems were identified: incorrectness and incompleteness of documentation, lack of document writing skills among responsible persons, rapid obsolescence of documentation, neglect of documentation, ambiguity and unstructured presentation. The article also highlights and examines the ways of solving these problems proposed by the authors of the analyzed publications.

Keywords:technical documentation, IT projects, data analysis, language model, generative pre-trained transformer