Avto.ru has implemented the YandexGPT neural network to create a brief summary of the history of car ownership. The summary takes into account information about the car’s involvement in an accident, insurance claims, arrests, legal clearances and other circumstances, the Avto.ru press service reported.
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Reports on used cars are often voluminous in terms of the amount of information presented, which makes it difficult for a potential buyer to study them. The new tool was introduced to make it easier for the user to familiarize himself with the history of the vehicle, Avto.ru notes.
The tool’s algorithm was trained on millions of service reports that users requested before buying a car over the past ten years. The technology to create a count will be improved as work progresses, the service noted.
Avto.ru already uses neural networks to organize its service, for example, to create car sales ads and accurately determine the target cost of cars.
Author:
Kirill Bilyk
Source: RB

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