Introduction to gen AI foundations Quiz Questions and Answers

 

Introduction to gen AI foundations Quiz Questions and Answers

Q1. Which of the following is NOT a key feature of foundation models?

Option 1: Flexible to support various use cases.

Option 2: Trained on diverse data.

Option 3: Adaptable to new domains and tasks.

Option 4: Specialized to specific tasks.


Q2. How do foundation models and prompt engineering work together to create value in generative AI?

Option 1: Foundation models offer a vast knowledge base, and prompt engineering guides the model to use this knowledge in responses.

Option 2: Foundation models ensure the ethical use of generative AI, while prompt engineering focuses on improving the quality and creativity of outputs.

Option 3: Prompt engineering trains foundation models on specific tasks, allowing them to generate highly specialized content and insights.

Option 4: Foundation models provide the computing power for generative AI, while prompt engineering directs that power to complete specific tasks.


Q3. What is the primary difference between foundation models and traditional AI models?

Option 1: Foundation models are only trained on text data, while traditional models use images and code.

Option 2: Foundation models are trained on massive amounts of diverse data for various tasks, while traditional models are trained on specific data for a single task.

Option 3: Foundation models cannot be adapted to new tasks, while traditional models can.

Option 4: Foundation models are trained on specific data for a single task, while traditional models are trained on diverse data for various tasks.


Q4. Which of the following best defines a foundation model?

Option 1: Large AI models trained on a vast quantity of data, capable of adapting to a variety of tasks.

Option 2: Small, very specialized AI models trained on narrow datasets in order to perform specific tasks.

Option 3: Hardware infrastructure used to train and deploy AI models.

Option 4: Traditional machine learning algorithms that rely on explicitly defined rules.


Q5. What is the purpose of a prompt in the context of foundation models?

Option 1: To fine-tune the model for a specific task.

Option 2: To evaluate the model's performance.

Option 3: To train the model on new data.

Option 4: To provide input to the model and trigger an output.