AI Hallucinations

AI hallucinations occur when language models produce outputs that seem credible but are factually incorrect or fabricated, despite appearing plausible. These instances happen because models generate responses based on patterns in training data, sometimes creating information without real-world basis. Recognizing and mitigating hallucinations is essential to ensure AI outputs are accurate and trustworthy for user applications.