Hallucination: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Hallucination in Machine Learning== Hallucination in machine learning refers to the phenomenon where a model generates outputs that are not entirely accurate or relevant to the input data. This occurs when the model overfits to the training data or does not generalize well to new or unseen data. This behavior has been observed in various machine learning models, including deep learning models like neural networks and natural lang..."