Experts noted the growing popularity of

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This was reported by Reksoft LLC today, November 25. The company's experts noted a 40% increase in orders in 2024 in areas related to the integration of artificial intelligence and working with data, compared to 2023. The main reason for the growth, in their opinion, is the intensification of import substitution and the transition of many companies to models that reduce the possibility of vendor lock.

generative artificial intelligence in business processes in all sectors of the economy, from retail to industry. Among the most popular technologies, they named techniques that supplement the knowledge of large language models with internal data, such as RAG and Retrieval Augmented Generation. This approach is useful in developing applications that process private data or data obtained after model training.

Russian companies india telegram are implementing such solutions for summarizing and analyzing documentation, which allows, among other things, to create training materials for various categories of specialists. The effectiveness of this approach is especially noticeable in companies with 1000+ employees. In addition to developing training materials, AI assistants can be used to optimize work with some specific regulatory documentation, such as legal documentation.

Another form of using large language models, according to experts, is the so-called multi-agent approach, when a neural network trained on company data takes on the role of one of the employees.

"Preliminary consultation with neural networks helps to filter out the least viable ideas, and to bring prepared arguments to discussion with teams. Such technology is only beginning to be implemented in decision-making processes, so there are no statistics on efficiency, however, based on experience of use, the multi-agent approach allows saving one or two hours per task only at meetings for each top manager involved," Reksoft said in a statement.

Experts noted that more and more companies, both Russian and foreign, offer solutions-assistants for code generation and analysis. They suggested that in the near future there will be a race of manufacturers to implement such solutions in the full cycle of software production: code creation, verification, deployment, testing, despite the fact that the efficiency of such solutions currently does not exceed 15%.

Demand creates supply