Problem of cheating with neural networks in language learning
| Parent link: | Язык. Общество. Образование.— 2023.— С. 141-148 |
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| Other Authors: | , |
| Summary: | This study explores the performance of commercially available large language models in common language learning tasks. Structure and working principles of neural networks were considered to hypothesize which tasks would perform better. Experiments were conducted to verify the assumptions. Several variants of task adaptations were compared in tests to discover the most resistant to cheating Текстовый файл |
| Language: | English |
| Published: |
2023
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| Series: | Актуальные векторы исследований и подходы в современной лингвистике |
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| Online Access: | http://earchive.tpu.ru/handle/11683/77924 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=671978 |