YandexGPT Developing Kazakh Language Support

Yandex is set to introduce YandexGPT, a groundbreaking language model capable of writing, processing texts, and conducting conversations in the Kazakh language.

Scheduled for launch in 2024, YandexGPT represents the first public generative neural network specifically trained to grasp and articulate in Kazakh, marking a significant milestone in language AI development for the region.

YandexGPT will be integrated into a variety of Yandex services, including a virtual assistant within the Yandex application, Search, and the Yandex Browser, exclusively for users in Kazakhstan.

This initiative underscores Yandex’s commitment to enhancing AI accessibility and functionality for Kazakh-speaking users, fostering greater inclusivity within the digital space.

The development of YandexGPT leveraged the foundational YandexGPT model, enriched with hundreds of thousands of Kazakh language queries and responses.

This extensive dataset encompasses a wide range of topics and conversational contexts, laying the groundwork for a highly capable and contextually aware AI model.

AI trainers from Yandex Kazakhstan play a crucial role in refining the neural network’s capabilities. They meticulously assess the AI’s output for accuracy, completeness, factual correctness, and adherence to grammatical and stylistic norms of the Kazakh language.

Through this iterative training process, involving the generation of standard queries and responses, the neural network’s response accuracy and contextual understanding are continually enhanced.

Looking ahead, Yandex plans to introduce a commercial version of YandexGPT in Kazakh for businesses, to be hosted on the Yandex Cloud platform.

This move is poised to open new avenues for businesses to leverage advanced AI tools for a variety of applications, from customer service to content creation, all in the Kazakh language.

This initiative by Yandex not only represents a leap forward in AI language processing capabilities but also highlights the company’s dedication to fostering technological advancements that cater to the linguistic diversity of its user base.

Source: TASS

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.