Beeline Казахстан и QazCode признаны лидерами в области ИИ на премии GSMA 2025 - Profit.kz
Beeline Казахстан и QazCode признаны лидерами в области ИИ на премии GSMA 2025 Profit.kz
- 01.Beeline Казахстан и QazCode признаны лидерами в области ИИ на премии GSMA 2025 Profit.kz

The award was awarded for the company's outstanding contribution to the development of Kaz-LLM - the Kazakhstan large language model. Beeline Kazakhstan and its IT company QazCode became winners of the international GSMA Foundry Excellence Award 2025 in the Artificial Intelligence category. This recognition underlines the importance of the Kaz-LLM project for global technological progress and its positive impact on the economy and development of Kazakhstan as a whole. Pictured in the middle: Alexey Sharavar, CEO of QazCode “We are pleased to see that Kaz-LLM received high praise at one of the largest international technology platforms - Mobile World Congress 2025. This model represents an important step in introducing AI services even in the most remote regions of Kazakhstan. We are honored to be part of this process, which contributes to economic growth, preservation of cultural identity and strengthening of Kazakhstan's position as a key player in the global IT industry. We express our gratitude to our partners for their close cooperation and exchange of knowledge in the development of the model,” said Alexey Sharavar, CEO of QazCode. “The recognition of Kaz-LLM at Mobile World Congress 2025 underscores the importance of IT implementation in Kazakhstan. The model is
“I am a shining example of how modern developments can not only expand opportunities for the country and business, but also play a key role in solving global problems in the field of AI,” said Evgeniy Nastradin, CEO of Beeline Kazakhstan. Kaz-LLM was developed in partnership with the Institute of Smart Systems and AI at Nazarbayev University (ISSAI NU), as well as Astana Hub. The project is coordinated by the Ministry of Digital Development, Innovation and Aerospace Industry of Kazakhstan (MCRIAP RK). The model solves the problem of the language barrier with the help of AI, which is of particular importance for the entire country, where the Kazakh language is part of a small language group. Kaz-LLM includes more than 150 billion tokens in Kazakh, Russian, English and Turkish, collected from publicly available sources. The developers trained two versions of the model - with 8 (8B) and 70 billion (70B) parameters, which are already available for non-commercial use on the Hugging Face website. In addition, Kaz-LLM provides data storage within the country, which helps protect privacy and create value at the local level. This year at MWC 2025, Kaz-LLM was presented for the first time at two stands - QazCode and GSMA, attracting attention
more than 100 thousand visitors. Interactive stands allowed everyone to become more deeply acquainted with the Kazakh culture and language. Particularly interesting was the interactive game about the Kazakh alphabet, which allowed visitors not only to learn the history and features of writing, but also to actively participate in the learning process, immersing them in the world of the Kazakh language tradition. Visitors also had the opportunity to interact with the Kaz-LLM platform, asking various questions they were interested in and receiving answers to them. Beeline Kazakhstan and QazCode are actively contributing to the development of global knowledge on LLM development for resource-constrained languages. In May 2024, VEON, Beeline Kazakhstan, GSMA and the Barcelona Supercomputing Center signed a memorandum of cooperation to explore the development of AI and language technologies for small language groups. GSMA is an international association that represents the interests of mobile operators and other players in the communications market around the world. It actively supports the development of mobile technologies, organizes major international events such as Mobile World Congress and M360, and promotes innovation in the field of mobile communications and technology.
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