Large language models (LLMs) like OpenAI’s ChatGPT often generate false information, a phenomenon known as ‘hallucination’. This occurs due to the statistical, pattern-based nature of their training. While some researchers believe hallucination can be reduced through techniques like reinforcement learning from human feedback, others argue that these ‘hallucinations’ could be creatively beneficial. The debate continues on whether the benefits of LLMs outweigh the potential harm caused by their inaccuracies.
