Neural networks

Articles

Cold Start Problems in "Machine Learning"

The cold start problem in "machine learning" (ML) is a typical issue faced by systems based on "machine learning." It is particularly relevant for recommendation systems. A neural network trained on a dataset needs to make a prediction about what will best meet the user's needs, but it does not have enough data to do so. Our consultant in preparing this article was Olga Kovaleva, a senior analyst-developer at Yandex.

News

Domestic Test Management Platform Test IT Connects to YandexGPT and GigaChat

Test IT, a business unit of "Develonica" (Softline Group), has released a major update to its eponymous test management platform. The key update to TMS in version 5.3 Reticulum is integration with AI models YandexGPT and GigaChat. According to the developers, the AI functionality can reduce the time to generate test scenarios by an average of 30%, and for initial test analysis by 50%.

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No More Powerful Servers Needed: Scientists Achieve Breakthrough in LLM Optimization

The Yandex Research Artificial Intelligence Laboratory, in collaboration with scientific and technological universities such as HSE University, MIT, KAUST, and ISTA, has developed a method for rapidly compressing large language models (LLMs) without losing quality. The developers emphasized that now, a smartphone or laptop is sufficient to work with the models, eliminating the need for expensive servers and powerful GPUs.

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Sber presented GigaChat 2.0

Sberbank has presented the updated GigaChat 2.0 model line. According to the MERA benchmark, the flagship model GigaChat 2 MAX ranks first among AI models for the Russian language. In international tests, the new line outperforms GPT-4o, DeepSeek-V3, LLaMA 70B, and Qwen2.5 in a number of indicators.