LLM hallucination refers to the phenomenon where large language models like chatbots or computer vision systems generate nonsensical or inaccurate outputs that do not conform to real patterns or objects. These false AI outputs stem from various factors. Overfitting to limited or skewed training data is a major culprit. High model complexity also contributes, enabling the AI to perceive correlations that don't exist.
Major companies developing generative AI systems are taking steps to address the problem of AI hallucinations, though some experts believe removing false outputs entirely may not be possible.
