What can lead to sub-optimal Generative AI models? Insufficient training data Non-representative training data Corrupted data All of the listed options

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 applications. 3. **Corrupted data**: Data that is corrupted or contains errors can lead to the model learning incorrect correlations or patterns, resulting in poor performance. Thus, the correct answer is **All of the listed options**.