All of the listed options can lead to sub-optimal Generative AI models.
1. **Insufficient training data**: If there isn’t enough data, the model may not learn the necessary patterns or distributions well enough to generate quality outputs.
2. **Non-representative training data**: If the training data does not adequately represent the diversity of the scenarios or inputs where the model will be applied, it may perform poorly in real-world