One of the primary challenges of artificial intelligence is achieving generalization across diverse situations. While AI models may perform well in specific scenarios, they often struggle to adapt to new or unforeseen situations without extensive retraining. This limitation affects the reliability and applicability of AI in real-world tasks, necessitating improvements in learning algorithms and data quality.