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Russia's Sberbank plans to unveil LLM with reasoning capacity
ST PETERSBURG, June 18 (Reuters) - Russia's largest lender, Sberbank, plans to unveil a version of its Gigachat large language model (LLM) with reasoning capabilities, First Deputy CEO Alexander Vedyakhin told Reuters in an interview. "In the near future, we will release a new model. Our GigaChat will have reasoning functions, meaning it will be capable of scientific research," Vedyakhin said. "I am already testing the beta version." Such models are capable of reasoning through complex tasks and can solve more challenging problems than previous models in areas such as science, coding, and math. Global market leader OpenAI launched its reasoning LLM last September. Vedyakhin said Russia still lags behind AI leaders the United States and China by six to nine months, but language adaptation, stable performance, and the use of domestic cloud servers make Sberbank's GigaChat a preferred model for Russian corporate clients. Vedyakhin said that around 15,000 companies in Russia are already using Sberbank's GigaChat. Yandex, Sberbank's main domestic rival in artificial intelligence, said in May that its search engine now had reasoning functionality. Reporting by Elena Fabrichnaya and Gleb Bryanski; Editing by Mark Trevelyan Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Disrupted
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Russia's Sberbank plans to unveil LLM with reasoning capacity
ST PETERSBURG (Reuters) -Russia's largest lender, Sberbank, plans to unveil a version of its Gigachat large language model (LLM) with reasoning capabilities, First Deputy CEO Alexander Vedyakhin told Reuters in an interview. "In the near future, we will release a new model. Our GigaChat will have reasoning functions, meaning it will be capable of scientific research," Vedyakhin said. "I am already testing the beta version." Such models are capable of reasoning through complex tasks and can solve more challenging problems than previous models in areas such as science, coding, and math. Global market leader OpenAI launched its reasoning LLM last September. Vedyakhin said Russia still lags behind AI leaders the United States and China by six to nine months, but language adaptation, stable performance, and the use of domestic cloud servers make Sberbank's GigaChat a preferred model for Russian corporate clients. Vedyakhin said that around 15,000 companies in Russia are already using Sberbank's GigaChat. Yandex, Sberbank's main domestic rival in artificial intelligence, said in May that its search engine now had reasoning functionality. (Reporting by Elena Fabrichnaya and Gleb Bryanski; Editing by Mark Trevelyan)
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Sberbank, Russia's largest lender, is set to release a new version of its Gigachat large language model with reasoning capabilities, aiming to narrow the gap with global AI leaders.
Russia's largest lender, Sberbank, is poised to make a significant leap in the field of artificial intelligence. Alexander Vedyakhin, First Deputy CEO of Sberbank, revealed in an interview with Reuters that the bank is preparing to launch a new version of its Gigachat large language model (LLM) with advanced reasoning capabilities 12.
Source: Reuters
The upcoming Gigachat model will feature reasoning functions, enabling it to engage in scientific research. Vedyakhin, who is already testing the beta version, stated, "Our GigaChat will have reasoning functions, meaning it will be capable of scientific research" 1. This advancement places Gigachat in a category of AI models that can tackle complex tasks and solve challenging problems in areas such as science, coding, and mathematics 2.
While this development marks a significant step forward for Russian AI, Vedyakhin acknowledged that Russia still lags behind global AI leaders. He estimated that Russia is about six to nine months behind the United States and China in AI development 12. This timeline provides context for Russia's position in the global AI race, highlighting both progress and remaining challenges.
Despite the gap with global leaders, Sberbank's Gigachat offers distinct advantages for Russian corporate clients. Vedyakhin emphasized that language adaptation, stable performance, and the use of domestic cloud servers make Gigachat a preferred choice in the Russian market 1. These factors contribute to Gigachat's growing adoption among Russian businesses.
The impact of Sberbank's AI efforts is already evident in the Russian corporate landscape. Vedyakhin revealed that approximately 15,000 companies in Russia are currently using Sberbank's Gigachat 12. This substantial user base demonstrates the model's relevance and utility in the Russian business environment.
Sberbank is not alone in pushing the boundaries of AI in Russia. Yandex, Sberbank's primary domestic rival in artificial intelligence, announced in May that its search engine now incorporates reasoning functionality 12. This competition is likely to drive further innovation in the Russian AI sector.
The development of reasoning capabilities in LLMs is a trend observed globally. OpenAI, a leader in the global AI market, launched its reasoning LLM in September of the previous year 12. Sberbank's efforts to develop similar capabilities reflect a broader push to advance AI technologies worldwide.
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