Application of synthetic data for analytics with generative ai and vector search capabilities

  • Roman Saveliev Ph.D. student, Ukrainian National Forestry University, Lviv
  • Mykhailo Dendiuk senior teacher of CS Department, Ukrainian National Forestry University, Lviv https://orcid.org/0000-0002-7631-022X
Ключові слова: Generative AI, Data Analytics, Distributed Systems, Synthetic Data, Vector Search

Анотація

This research investigates the transformative potential of Generative Artificial Intelligence (Generative AI) in the realm of data analytics within distributed systems. Specifically, we explore the utilization of Generative AI models, such as Generative Adversarial Networks, to generate synthetic datasets that closely mimic real-world data. Our focus extends to the innovative application of vector search within these synthetic datasets, examining its implications for data analytics and exploring the ethical considerations surrounding the use of synthetic data.

Посилання

[1] Goodfellow, I., Bengio, Y., Courville, A., & Bengio, A. (2016). Deep Learning. MIT Press.
[2] Dhillon, G. S. (2020). Generative AI Algorithms. O'Reilly Media.
[3] Brock, A., Donahue, J., & Simonyan, K. (2019). Large Scale GAN Training for High Fidelity Natural Image Synthesis.
Опубліковано
2023-10-21
Як цитувати
Saveliev, R., & Dendiuk, M. (2023). Application of synthetic data for analytics with generative ai and vector search capabilities. Комп’ютерне моделювання та інформаційні технології, 115-119. вилучено із https://conf.nltu.edu.ua/index.php/conf1/article/view/36
Номер
2023: Комп’ютерне моделювання та інформаційні технології
Розділ
ІНТЕЛЕКТУАЛЬНІ ІНФОРМАЦІЙНІ СИСТЕМИ