### Q1: What is a basic definition of a model in the context of Generative AI?  
### Q2: How does the training process enhance a model's performance in Generative AI applications?  
### Q3: What are some challenges associated with training models on biased or incomplete data?  
### Q4: How can understanding the relationship between data and Generative AI models improve product offerings in finance?  
### Q5: Can you describe a scenario where data quality significantly affected the outcome of a Generative AI application?  
### Q6: What strategies can be employed to ensure the data used for training Generative AI models is high-quality and relevant?  
### Q7: How would you communicate the importance of Generative AI models to a non-technical stakeholder in your company?  
### Q8: What techniques can be used to explain the concept of training a model to a team unfamiliar with AI technologies?  
### Q9: In what ways can effective communication about Generative AI improve collaboration between technical and business teams within a fintech company?