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June 5, 2026
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Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Анализ положительного эффекта от внедрения ИТ решения, основанный на оценке риска

Приборы и системы. Управление, контроль, диагностика. 2019. № 7. С. 45–54.
Pervukhin D., Isaev E., Рытиков Г. О., Филюгина Е. К., Hayrapetyan D.

The introduction of IS has a positive impact on the efficiency of companies and organizations. At the same time, even for the a posteriori assessment of the implemented IT projects in terms of these improvements, there are no generally accepted and generally used metrics or frameworks. Traditional approaches make it possible to consider the operating and capital costs of the system, but in terms of the positive financial effect of the introduction, there is a shortage of assessment tools. The situation with a priori evaluation is even more difficult due to the lack of information about costs. For example, there may be errors in estimating deadlines, during the usage of a cascade approach to project management, or uncertain terms in project implementation within the framework of rapid development approaches, unintended integration, indirect effects of implementation, such as reengineering of a number of business processes. At the same time, the systems of the operational level are much more accurate than the systems that support decision-making for the middle and higher levels of corporate governance. Therefore, the decision to implement or refuse to implement an IT project often has the character of expert review, and the cost of an error in making such a decision is very high.

This work proposes an approach for making a decision whether to implement an IT project. It is based on a risk analysis of the company's activities. Large companies, as a rule, build risk management systems, which, among other things, provide a quantitative assessment of the most significant risks and opportunities. Thus, it is possible to measure the positive effect of the introduction of the system as its influence on reducing risks and increasing opportunities in financial terms. This assessment basis will allow to consider IT projects not as costly measures, but in the traditional way of evaluating investment projects, expecting them to have a positive impact on the value of the company.

Research target: Economics and Management
Priority areas: business informatics
Language: Russian
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Keywords: оценка эффективностиrisk-managementIT-project Management внедрение ИТ-технологий управление рисками
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