What can lead to sub-optimal Generative AI models? Mark Mark 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 the model is trained on too little data, it may not learn the underlying patterns effectively, leading to poor generalization and performance. 2. **Non-representative training data**: If the training data does not adequately represent the diversity of the real-world scenarios the model will encounter, it can result in biases or an inability to produce accurate results for certain inputs. 3. **Corrupted data**: Data that contains errors, inconsistencies, or noise can mislead the training process, causing the model to learn incorrect associations or patterns. Thus, the correct answer is **All of the listed options**.