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Russian Neural Networks

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Today, AI is a hot topic, but the discussion often centers on foreign developments. The most famous are ChatGPT and Midjourney. However, Russia is also actively engaged in creating neural networks, and quite successfully at that. Which Russian neural networks are on par with their well-publicized foreign counterparts? Let’s discover what can surprise users from Russian developers.

Are There Neural Networks in Russia?

It’s important to note that Russian neural networks do exist, and many companies successfully employ domestic developments as work assistants. Users far removed from the IT sphere may think AI is designed for entertainment purposes only, allowing for the easy generation of original images, composing texts, and writing music. In reality, AI’s potential use is much broader, capable of replacing humans in many aspects.

Since only foreign products are well-known, it might seem that neural network development in Russia is lagging, and the country is trailing behind the leaders. This, however, is not true. Russian developments have quite firmly entered everyday use. Neural networks are actively applied in science and medicine, particularly in diagnostics. AI efficiently analyzes CT or MRI scans, enabling accurate diagnoses. The capabilities of artificial intelligence are also widely used to decipher images taken from space, recordings from cameras installed on roads and city streets, and many other areas.

Russian Neural Networks List

Let’s take a look at which neural networks exist in Russia. The list of available neural networks is growing every year, so it’s important to understand that information quickly becomes outdated. Russia has designed neural networks for a wide range of tasks, so it’s impossible to present a full list in this article. Thus, the discussion will focus on services that might interest the average user. Networks for solving professional tasks in various scientific fields will not be considered.

  • Flocktory – a tool used for testing content and functionality of internet resources;
  • Blaboba – contains a language model used in Yandex services, an ideal option for entertainment content;
  • Kandinsky 2.1 – used for image synthesis based on text prompts, the generated images can be edited immediately;
  • Shedevroom – a service with elements of a social network, used for generating images, users can share the obtained pictures with others.
  • Retomagic is used for working with photos and videos, capable of improving and transforming images;
  • Maestro – a version for generating melodies based on text requests, the created works do not have copyright, meaning they can be freely used including for commercial purposes;
  • AICAP – a recently launched project for assessing and correcting content, recognizes the emotions of respondents from the target audience.

Of course, this is far from a comprehensive list of Russian developments. Let’s examine which services are created in Russia for solving specific tasks.

Russian Textual Neural Networks

Text services can write an article for Zen, compose a graduation poem, or write a business letter. Popular Russian textual neural networks include:

  • Yandex’s Alice. Uses the YandexGPT language model, better suited for writing creative texts, as it uses many epithets and makes artistic digressions.
  • GigaChat – Sber’s development, a worthy Russian analog of the ChatGPT neural network;
  • Blaboba can continue a text, create content in the given style, answer a question.
  • SistemmaGPT creates quality Russian-language content, answers questions, writes artistic and business texts, takes context into account when interacting with the user.
  • Gerwin – writes texts, generates headlines and topics, drafts comments and tags for posts.

Russian Neural Networks for Images

Popular Russian neural networks for images include:

  • Kandinsky 2.2 – creates images based on text queries, stylizes images according to author sketches, delivers realistic pictures with a high resolution.
  • Shedevroom – a free Russian development based on Yandex AI, capable not only of creating realistic images but also generates text prompts.
  • Fusion Brain is available as a web version but works well on smartphones too. Generates pictures according to the given request.

Russian Neural Network for Background Removal

A convenient tool is the neural network for background removal, and Russian developments are not inferior in quality to foreign options. Examples include:

  • Benzin.io – a quite simple service focused on one function, which it excels at;
  • TurboText offers tools for both background removal and photo enhancement.
  • Acetone.ai – a completely free service for removing backgrounds and unnecessary objects in photos.

Development of Neural Networks in Russia

The library of domestic neural networks is constantly expanding, and the prospects for their development are immense. Currently, Russia employs some of the best developers, as evidenced by Russian programmers’ victories in international competitions. AI technologies in Russia are actively used, and they are applied not only and not so much for entertainment but also for solving serious scientific tasks.

Best Russian Neural Networks

It’s extremely difficult to single out the best Russian neural networks, as each has its own advantages and disadvantages. However, it’s easy to compile the top Russian neural networks by popularity among users. They include:

  • YandexGPT;
  • Shedevroom;
  • Kandinsky;
  • GigaChat;
  • Blaboba.

Most users participating in the survey noted that they are rather satisfied with the quality of their work, and 20% are completely satisfied.

Conclusion

The level of AI technology development in Russia is not falling behind, and in some areas, it’s even surpassing other countries. The rapid development gives hope that Russian developers will take leading positions in the world.

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