The Digital Pharmacist Assistant has been integrated into Sber EAPTEKA's contact center. It was developed by the Sberbank Health Industry Center based on the GigaChat neural network. This was reported by the bank's press service.
The service will help pharmacy customers. They will be able to select medications, learn about their dosage schedule, contraindications, and side effects.
The implementation of the GigaChat API in the work of Sber's health industry companies is a crucial direction in the development of artificial intelligence skills being developed in our center. We are confident that the use of large language models is the most promising way to improve the quality and speed of our work for the benefit of people.
The answer to the question is generated automatically. An operator checks it for accuracy and sends it to the client. The service will reduce the workload on contact center employees and reduce the waiting time for a pharmacist's response.
Earlier, www1.ru reported that Sber and Sibur will develop a neural network for import substitution of production equipment.
Read materials on the topic:
Sber expands access to the GigaChat chatbot in Telegram for all users
The first real Russian competitor to ChatGPT? Sber presented GigaChat
Now on home
Герой России Гарнаев: никто из профессионалов о возобновлении производства на КАЗ всерьёз не говорит
Система отслеживает спутники на высотах до 50 000 км и ведёт за ними наблюдение
The armored vehicle is equipped with a KamAZ-740.35-400 diesel engine with a power of 400 hp.
Constant improvements in avionics, weapons and tactical capabilities will make the aircraft a flexible response to future challenges
The exterior of the KamAZ-54901 features fairings on the cab and chassis for fuel economy
Fighters are in demand both domestically and abroad
Tyazhpromexport and Venezuela Agree on Plant Revival
The company not only completed the state order, but also quickly mastered the production of AK-12K for special forces
Experts have developed a photogrammetric complex with a resolution of less than 1 cm
