Questions

What is a common reason AI projects fail to deliver value?

• Lack of executive sponsorship and business alignment
• Too much data
• Use of cloud services
• Too much automation

 

What’s a key difference between traditional AI and foundation models?

• Foundation models sure self-supervised learning.
• Traditional AI can write entire documents.
• Foundation models are limited to narrow task.
• Traditional AI is trained on unlabeled data.

 

True or false? The field of AI and regulatory guidance around it are static.

• True
• False

 

When building a machine learning model, what’s the purpose of a test dataset?

• To generate training labels
• To improve model performance during training
• To evaluate the model’s performance on new, unseen data
• To increase the size of the training dataset

 

True or false? A pre-trained AI model can often be customized with a client’s data to improve performance.

• True
• False

 

Fill in the blank: Clustering techniques are used when you ____.

• have labels for your data
• want to group data points with similar features
•  want to train a chatbot
• are analyzing time-series data