exhibition from idea to implementation, let's talk with a representative of the gallery, ivan alexandrovich taromskyafternoon. good afternoon. why did the gallery choose to reflect innovation in art as a priority? why not the classics and our exhibition was on the apparatus in modern trends on the topic of artificial intelligence so much began to attract attention that we involuntarily thought. that's artificial intelligence. is he already an artist or is he still a machine, and based on this, they created the concept of this exhibition. two neural networks were used as part of the exhibition. this is a gpt and midori neural network. why the choice fell on them and in general , tell us how it works at first glance, when you come to the exhibition, it seems that here the entire exhibition was made from the dirt between them, but this is just at first glance. so it seems, and gpt is a large linguistic model, into which a huge amount of data is loaded, and about 405 gb of textual information for understanding - this is about plus or minus 140,000 books and due to, uh, the information received. chad gpt