Sber's neural network GigaChat successfully passed exams at the Russian Academy of National Economy and Public Administration (RANEPA), confirming knowledge at the bachelor's level in the areas of "Economics and Finance" and "Financial Literacy." This was reported in the press service of Sberbank.
The exam for the neural network was developed by experts from the Presidential Academy and included 400 questions on a variety of topics - from micro- and macroeconomics to international economics and economic policy, with an emphasis on banks and financial markets. "GigaChat" demonstrated a deep understanding of key areas of economics, investment and banking, which confirms its high level of expertise.
Kirill Tsarev, First Deputy Chairman of the Sberbank Board, noted that the neural network already helps users understand the complex aspects of economics, investment and personal finance management. Artur Azarov, Vice-Rector of RANEPA, emphasized that "GigaChat" is now officially certified as a bachelor, and its answers in the disciplines of economics and finance can be considered correct and reliable.
This achievement demonstrates the capabilities of artificial intelligence in education and professional training. The introduction of neural networks allows not only to automate training and consulting, but also to provide accurate analytical recommendations for business and citizens.
