Why do language models have hallucinations?

In the article about avoiding hallucinations in large language model (LLM) applications, the author discusses a key issue related to artificial intelligence. Hallucinations, which are incorrect or fictional information generated by language models, can lead users to trust uncertain sources of information. The importance of properly fine-tuning language models and training them on verified, real-world data is highlighted. Additionally, the article mentions methods that can help minimize the risk of these undesirable effects. Implementing appropriate strategies, such as data quality control, can significantly enhance the effectiveness of AI-based applications. The conclusions drawn emphasize that AI technologies must be used responsibly in order to gain societal trust.