Scientific research plays a pivotal role in the advancement of society and science. However, the processing and analysis of scientific papers often pose a complex challenge, demanding significant effort and time. In light of this issue, we present an innovative tool - DiZyme Assistant, which integrates the power of language models with cutting-edge data processing techniques to facilitate easier access to information in scientific articles. The foundational model is based on research in predicting the catalytic properties of nanozymes and operates using the unique DiZyme database, designed to enhance efficiency in scientific exploration.

Хакимуллин Р.Р., Загорулько О.А., Одобеску Р.С., Сим Р.Д. (науч. рук. Разливина Ю.С.) USING LANGUAGE MODELS AND DATA PROCESSING TECHNIQUES TO OPTIMIZE SCIENTIFIC RESEARCH // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2024]. URL: https://kmu.itmo.ru/digests/article/13214