The challenges lie not only in processing heterogeneous data but also in managing distributed information from various parts of the world. To overcome these challenges, a combination of advanced technologies is employed, including Transformer models, the XGBoost network, empirical methods, and classical statistics.
A key component of the project is the construction of an extensive language model (Large Language Model, LLM) designed to classify real-world events and transform them into directed acyclic graphs. These graphs visually represent organizational structures and allow for in-depth analysis.
