AI training

Main article: Artificial intelligence (AI, Artificial intelligence, AI)

Robot training

Main article: Robot training

Machine learning

Main article: Machine Learning

LLM (Large Language Models)

Main article: LLM (Large Language Models)

Chronicle

2025: Deputy Prime Minister Dmitry Grigorenko: State funds for AI training will become available to business, government agencies and citizens

State data for AI training will become available to business, government agencies and citizens. Deputy Prime Minister Dmitry Grigorenko said in February 2025 that companies, government agencies and individuals will be able to use marked-up sets of government money to test and develop artificial intelligence algorithms. The first gratuitous contracts for the provision of such data will begin to be concluded in February 2025.

According to Vedomosti, the marked-up sets are prepared on the basis of initial databases that do not contain personal data of citizens, official and other secrets protected by law, as well as limited access information. Markup is the assignment of special labels and categories to data for their recognition by machine learning algorithms.

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Фото: Russian Government

The formation of data sets for artificial intelligence is carried out within the framework of the Unified Information Platform of the National Data Management System. In 2023, the first 10 sets with marked data were formed, and in November 2024, another 40 sets were added as part of the federal project "Artificial Intelligence."

According to the publication, the Ministry of Digital Development of Russia acts as a data transmission operator and has developed two types of agreements - for state bodies and for individuals and legal entities. The documents define the tasks of information exchange, the terms of data transfer, the period of information use, as well as guarantees for the targeted use of data sets.

Agreements will be concluded with regional departments and subordinate organizations engaged in the introduction of artificial intelligence in their subjects. The governments of the Tyumen and Lipetsk regions have already sent requests for the provision of data sets.^[1]

2024

A system for training robots from each other without human participation has been launched

In late November 2024, scientists at the University of California, Berkeley, unveiled a system to allow robots to exchange skills without human input. The RoVi-Aug platform generates synthetic visual demonstrations using different types of robots and shooting angles, increasing the versatility of learning. Read more here.

Russia has created the world's first open AI environment for rapid contextual training with reinforcement

On November 29, 2024, it became known that Russian scientists from the T-Bank AI Research laboratory and the AIRI Institute, in collaboration with students of MIPT, Skoltech and Innopolis, developed XLand-MiniGrid, the first open virtual environment for research in the field of contextual training with reinforcement of artificial intelligence. Read more here.

The Ministry of Industry and Trade of the Russian Federation buys AI servers for 665 million rubles for training neural networks

On November 11, 2024, the Federal Center for the Applied Development of Artificial Intelligence (FCPR AI), which provides support for the digital transformation of the Ministry of Industry and Trade of Russia, announced a competition for the purchase of server and telecommunications equipment for training neural networks. The initial cost of the contract is about 665 million rubles. Read more here.

The Pixtral Large neural network with a search engine is presented, which is more powerful GPT-4

In mid-November 2024, the French startup Mistral introduced the Pixtral Large neural network, which can compete with GPT-4. The neural network based on the free chatbot Le Chat is capable of generating images, conducting web searches and serving as an interactive "canvas." Read more here.

Russia has released ReBased technology for working with long text. It will help launch commercial neural networks faster

Russian scientists from the T-Bank AI Research laboratory have developed a new ReBased technology for accelerated processing of long texts by artificial intelligence. This innovation will significantly reduce the cost of using AI in word processing with almost no loss in quality, the press service of T-Bank reported in August 2024. Read more here.

2023: Russian scientists have created an algorithm that trains AI 4 times faster than global analogues

Scientists at Tinkoff Research's Artificial Intelligence (AI) Research Laboratory have created an algorithm to train and adapt artificial intelligence. According to scientists, a method called ReBRAC (Revisited Behavior Regulated Actor Critic) trains AI four times faster and 40% better than global counterparts in the field of reinforcement training (Reinforcement Learning, RL), adapting it to new conditions on the go. Such results were obtained as part of testing the algorithm on robotic simulators, representatives of Tinkoff Bank told TAdviser on December 21, 2023. Read more here.

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