Abstract
The integration of large language models (LLM) into many artificial intelligence applications shows the best performance in tasks such as text mining, typing, question answering. Despite his success, his LL.M. The biggest concern is the emergence of so-called "hallucinations", especially in text-based systems and Q&As that rely on LL M. These hearings may lead to the spread of misinformation or fraud. This article explains the basics of AI illusions and highlights their importance in AI. Work involves deploying visualizations to a variety of tasks, including machine translation, surveys, interviews, content writing, LLM maps, and visualization questions. Additionally, this article explores potential strategies to reduce negative perceptions in order to increase the overall credibility of the LL.M.
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