### Q1: What is the basic definition of a model in the context of Generative AI?  
### Q2: How can a model in finance use historical data to make predictions about future stock prices?  
### Q3: What are some challenges you might face when training a model on large datasets in the finance sector?  
### Q4: How can the training process improve the accuracy of a Generative AI model used in financial decision-making?  
### Q5: Why is it important to have comprehensive and clean data when training models for financial applications?  
### Q6: How might a predictive model help a bank assess a customer's credit risk?  
### Q7: In what ways can generators create synthetic data to enhance financial analysis?  
### Q8: How can the utilization of generative models lead to more innovative solutions in the fintech industry?  
### Q9: What strategies can you use to effectively communicate the importance of data quality to your team?