Ice Breaking Topics

• Can human nature be changed? Should it be changed?
• Do you spend a lot of money on entertainment?
• If you could start any new hobby, what would it be?
• How do you think social media has affected the way we communicate and form connections?
• Why do some people have money problems?
• How will society change in the next 100 years?
• What is your favorite book-to-movie adaptation and why?
• What is your favorite song?

Ice Breaking Topics

• What was your favorite childhood toy or game?
• A friend to all is a friend to none. What do you think about this statement?
• What is your perspective on the concept of infinity?
• What would you do if you could breathe underwater?
• Have you ever been on a blind date?
• How often do you skip breakfast or have it on the go?
• How do you think technology has impacted the way families communicate and interact with one another?
• Are you a ‘sweet tooth’?

模型鲁棒性是指模型在面对新的或不可预见的数据时仍能保持其性能的能力。一个鲁棒的模型应该能够在各种不同的条件下工作，即使这些条件在训练数据中没有被观察到。

模型鲁棒性对于许多应用来说都很重要。例如，在机器学习中，一个鲁棒的模型应该能够在新的数据上很好地泛化，即使这些数据与训练数据不同。在计算机视觉中，一个鲁棒的模型应该能够识别物体，即使物体被遮挡或处于不同的位置。在自然语言处理中，一个鲁棒的模型应该能够理解文本，即使文本包含拼写错误或语法错误。

模型鲁棒性可以通过多种方法来实现。一种方法是使用正则化技术，这可以防止模型过拟合训练数据。另一种方法是使用集成学习技术，这可以将多个模型的预测结合起来以提高鲁棒性。

模型鲁棒性是一个重要的概念，对于许多应用来说都很重要。通过使用适当的技术，可以开发出能够在各种不同条件下工作并具有良好鲁棒性的模型。