Large Language Models and Prompt Engineering in Linguistics
Prompt injection – the problem of linguistic vulnerabilities of large language models at the present stage
Volume 10, Issue №4, 2024
The article examines the phenomenon of “prompt injection” in the context of contemporary large language models (LLMs), elucidating a significant challenge for AI developers and researchers. The study comprises ...
Artificial vs human intelligence: a case study of translating jokes based on wordplay
Volume 10, Issue №4, 2024
Artificial intelligence (AI) technologies used in professional translation question the effectiveness of human-AI interaction. Deep learning can mimic human cognitive processes, accordingly suggesting that AI could reproduce the logic ...
Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification
Volume 10, Issue №4, 2024
The study of dialects provides an opportunity to gain an understanding of the culture and history of a people, which are reflected in language. Dialectal vocabulary differs from standard ...
Combining the tasks of entity linking and relation extraction using a unified neural network model
Volume 10, Issue №4, 2024
In this paper we describe methods for training neural network models for extracting pharmacologically significant entities from natural language texts with their further transformation into a formalized form of ...
Using neural network technologies in determining the emotional state of a person in oral communication
Volume 10, Issue №4, 2024
Human oral speech often has an emotional connotation; this is due to the fact that emotions and our mood influence the physiology of the vocal tract and, as a ...
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