This year, participants in the “Artificial Intelligence” profile of the NTI Club Movement Olympiad, implemented in partnership with the Academy of Artificial Intelligence for schoolchildren, had to deal with natural language processing (NLP) and immerse themselves in the creation of AGI-based question-and-answer systems. Similar systems are used to automate call centers and customer support services, in chatbots and search engines.
At the final, the participants had to build an algorithm that complements the text, taking into account the available information and common sense. Problems of constructing algorithms that take into account common sense are now of particular interest to the Russian and international scientific community, since without their successful solution it is impossible to create developed intelligent systems and strong artificial intelligence.
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This year, participants were given tasks from the Sber team, which studies and develops NLP algorithms. At the online stage, participants had to build an algorithm that answers questions that require constructing cause-and-effect relationships, and in the final, they had to teach the AI common sense.
