generation-ai.ru
RegisteredGeneration AI: where Russian business learns to work with neural networksIn the modern world, generative artificial intelligence has ceased to be just a buzzword. Now it is a real tool th...
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Generation AI: where Russian business learns to work with neural networks
In the modern world, generative artificial intelligence has ceased to be just a buzzword. Now it is a real tool that is changing the rules of the game in companies across the country. The Generation AI project, launched by the Just AI team, has become a kind of center of attraction for those who want to understand how to implement LLM and other models into their processes. This is not just a blog, but a full-fledged caserium, where real success stories of Russian enterprises are collected.
The main idea of the project is simple: companies share their experience, and others can learn from others’ mistakes and victories. There is no water or advertising slogans here. Only facts, figures and concrete results. The editors carefully check each material to make sure that the solutions described actually work and have a measurable effect. Cost savings, service acceleration, revenue growth - all this can be found in the portal articles.
Why is it worth following Generation AI?
- Practical benefits. The materials are structured so that it is easy to compare approaches. You see the problem, the solution, the technology stack used and the resulting metrics.
- Independence. The project is educational. Publications are not published for money, so you can be sure of the objectivity of the information.
- Pilot safety. Thanks to market benchmarks, you can compare your project with already implemented analogues and reduce risks.
It is especially interesting to see how technologies are applied in different industries. IT, finance, retail, medicine, law - they all have their own nuances of using generative AI. For example, in medicine this could be assistance in diagnostics, and in retail it could be personalization of offers for customers.
In addition, a strong community has formed around the project. Conversations conferences are held regularly, where industry leaders talk about their architectures and implementation economics. And the Generation AI Awards recognize the best projects of the year, which motivates companies to share even better cases.
How does the selection of materials work?
Companies themselves send their stories. But the editors do not publish everything. There are strict selection rules. If the case lacks target metrics or the solution architecture is unclear, the material is returned for revision. What is under the NDA, of course, remains secret, but the overall logic and results should be transparent. This allows you to maintain the trust of readers and the practical value of the content.
If you want to share your experience, you need to fill out a simple form on the website. Describe the task, stack, deadlines and results.After this, specialists will contact you and send you a design guide. Posting is absolutely free, since the goal of the project is education, and not making money from advertising.
Frequently asked questions
What is Generation AI?
This is a media project where Russian companies publish cases of implementing generative AI. The goal is to give businesses the tools to analyze the market and reduce risks during pilot projects.
How much does it cost to publish a case?
Publishing materials is free. The project does not sell space or charge for publications, focusing on educational activities.
Who checks the accuracy of the information?
The editors carry out independent validation: they check the invoice, metrics and technical stack. Only those cases that comply with the uniform selection rules are published.
What are the Generation AI Awards?
The first award dedicated to the application of GenAI in business. It celebrates the best industry implementations and startups of the year, collecting the brightest projects in the industry.
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created: 2024-05-08T14:03:42Z
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free-date: 2026-06-08
source: TCI
Last updated on 2026-03-15T08:03:01Z
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