Neural Networks for Text and Images: Three Projects by VK Students
VK and HSE University showcased three projects by IMSH students that already look like a foundation for real AI products and research. They include a Russian-language benchmark for multimodal models, a more economical attention mechanism, and a system for psycholinguistic text analysis. One tool is already in use at VK, while another became the basis of an award-winning research paper and an applied service for data labeling.
AI-processed from Habr AI; edited by Hamidun News
VK IMSH students have developed three neural networks: one that analyzes psychological state from text, one that evaluates multimodal models in Russian, and one that optimizes language model architectures.
How does a neural network analyze psychological state from text?
VK students created a project that determines a person's psychological state from their text data.
Why is a
Russian-language benchmark for neural networks needed? Most tests for multimodal models are geared toward English. VK students built a benchmark specifically to assess their quality in Russian.
Key Questions Answered
How does a neural network analyze psychological state from text?
VK students created a project that determines a person's psychological state from their text data.
Why is a Russian-language benchmark for neural networks needed?
Most tests for multimodal models are geared toward English. VK students built a benchmark specifically to assess their quality in Russian.
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