Gigachat passed the Bachelor's degree exams in two areas

The Sbera Gigachat neural network has successfully passed two exams at the RANEPA at once. The model confirmed the knowledge corresponding to a bachelor's degree in Economics and Finance and Financial Literacy. This was reported by the press service of Sberbank.

The comprehensive exam for the neural network was developed by RANEPA experts. It consisted of 400 questions on topics ranging from microeconomics to economic policy, with a focus on banks and financial markets. The test was prepared taking into account the requirements for bachelor's degree graduates, who must, in particular, possess knowledge in accounting and financial reporting, taxation of individuals and legal entities, the banking system, banking products, etc. The tasks were aimed at testing both theoretical knowledge and the ability to make calculations and propose solutions to specific situations.

"Gigachat has confirmed its deep knowledge and high level of expertise in the field of finance," said Kirill Tsarev, First Deputy Chairman of the Board of Sberbank. He noted that the neural network helps people understand complex aspects of the economy, investments and personal funds management.

Sberbank, together with the Ministry of Finance and the Bank of Russia, is working to improve financial literacy and culture of the population, said Tsarev. "We conduct lectures and online courses for schoolchildren, students, and older people, and we conduct special projects on savings, investments, insurance, and financial security on the Sberbank educational platform," said the First Deputy Chairman of the Board of Sberbank. He recalled that the expense assistant based on the Gigachat neural network generates weekly and monthly reports with key trends in the bank's application, analyzes the user's financial behavior, compares it with customers of a similar profile and gives personalized money management tips.

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