Сучасні підходи використання нейронних мереж в аналізі текстів
| dc.contributor.advisor | Глибовець, Андрій | uk_UA |
| dc.contributor.author | Драговоз, Даміан | uk_UA |
| dc.date.accessioned | 2025-09-09T13:41:30Z | |
| dc.date.available | 2025-09-09T13:41:30Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | In recent years, artificial intelligence (AI) has experienced a significant rise in popularity and usage. One of the breakthroughs responsible for this surge was the invention of GPT language models, which captivated public attention. This work aims to explore fundamental concepts in AI that are utilized in such models while focusing more on NLP-specific tasks. While more advanced topics—such as the entire architecture of transformer networks and other cutting-edge techniques—are not examined in exhaustive detail, the material presented here is sufficient to provide a robust conceptual foundation. The objective is not to cover every aspect exhaustively but to ensure a clear understanding of why these models are effective, how the various components integrate, and what makes NLP systems so successful. | en_US |
| dc.identifier.uri | https://ekmair.ukma.edu.ua/handle/123456789/36541 | |
| dc.language.iso | en_US | en_US |
| dc.status | first published | en_US |
| dc.subject | intelligence (AI) | en_US |
| dc.subject | GPT language models | en_US |
| dc.subject | NLP | en_US |
| dc.subject | term paper | en_US |
| dc.title | Сучасні підходи використання нейронних мереж в аналізі текстів | uk_UA |
| dc.type | Other | en_US |
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