As AI systems become more advanced, they are increasingly used in tasks that once required human expertise. However, sometimes these systems can experience what is known as a hallucination. This surreal phenomenon occurs when the AI generates a response that is completely out of touch with the input it was provided with. This can be a real nuisance, especially in areas like natural language processing. These errors stem from the training data that the AI has been exposed to, as well as a lack of understanding of the context. The challenge lies in ensuring the system knows when to generate a response and when to ask for more context, to avoid any irrelevant or nonsensical outputs.
