The most popular neural networks among Russians are ChatGPT (86%), Midjourney (41%), YandexGPT (18%), Masterroom (11%), Kandinsky (7%), GigaChat (6%) and Blaboba (5%). The majority of respondents (55%) say they are partially satisfied with the quality of these networks, while 20% are completely satisfied.
Neural networks are mostly used by respondents (68%) to work with texts. Popular features include information search (48%), new text creation (42%), as well as text conversion (24%) such as translation or error correction. More advanced users are turning to AI for data analysis (20%), decision making (14%), and coding (14%).
Neural networks for working with images are in second place among the respondents (48%). They are mostly used to create new images (43%), improve quality (22%) or recognize objects (15%). They are also used to remove backgrounds from images (11%) or transform styles (11%).
More than 1,500 respondents aged 18 to 55 across the country took part in the survey, which provides insight into the growing use and application of neural networks in Russia.
Source: Ferra
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