GigaChat neural network model of Sber, who successfully passed the exam at the Institute of Medical Education of the National Medical Research Center bearing his name. Specializing in General Medicine, VA Almazova began looking for internships. Sber press service reports this.
It is stated that GigaChat published his resume on the recruitment site Rabota.ru.
As Sberbank explained, the neural network itself created the resume text. It is stated that the candidate has one year of work experience. GigaChat also stated that he knows human anatomy, physiology and pathology, and can also diagnose diseases.
“Among the personal qualities, the neural network noted responsibility, stress tolerance, high data processing speed and the ability to work in a team,” the message says.
Let us remind you that Sber’s GigaChat neural network has passed the exam of a higher medical institution in the field of training “General Medicine”, which is necessary to obtain the qualification “medical doctor”. Thus, the model became one of the first in the world to achieve this.
Sberbank announced that the bank’s artificial intelligence successfully passed the test at the level of a medical school graduate and received a final grade of 4 by answering the questions on the ticket. The exam was conducted by a commission consisting of professors of therapy, surgery and obstetrics. and gynecology from the eponymous National Center for Medical Research Institute of Medical Education. VA Almazova. GigaChat also passed the 100-question test with a score of 82%, with a 70% passing threshold.
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Source: Gazeta
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