Gen AI: Foundation Models Quiz Questions Answers
Q1. What is the primary role of humans in the loop (HITL) in machine learning?
Option 1: To replace AI algorithms entirely.
Option 2: To automate all decision-making processes.
Option 3: To eliminate the need for data collection and model training.
Option 4: To integrate human expertise into the ML process, especially for tasks requiring judgment or context.
Q2. Why is fine-tuning and customization an important factor when choosing a model?
Option 1: It increases the model's context window.
Option 2: It reduces the cost of using the model.
Option 3: It ensures the model is always available.
Option 4: It allows the model to be adapted for specific tasks or domains.
Q3. What is the primary purpose of grounding in generative AI?
Option 1: To reduce the cost of deploying AI applications.
Option 2: To improve the AI's ability to generate creative content.
Option 3: To connect the AI's output to verifiable sources of information.
Option 4: To increase the speed and efficiency of AI model training.
Q4. Which type of foundation model is specifically designed to understand and generate human language?
Option 1: Large language model (LLM)
Option 2: Multimodal model
Option 3: Predictive model
Option 4: Diffusion model
Q5. Which techniques can be used to overcome the limitations of foundation model performance?
Option 1: Increased processing power and faster hardware.
Option 2: Grounding, prompt engineering, fine-tuning, and humans in the loop (HITL).
Option 3: Preventing hallucinations by restricting the AI model's access to external knowledge sources.
Option 4: Advanced algorithms and data structures.
Q6. Which type of foundation model would be most suitable for generating photorealistic images from textual descriptions?
Option 1: Classification model
Option 2: Multimodal model
Option 3: Large language model (LLM)
Option 4: Diffusion model
Option 1: Classification model
Option 2: Multimodal model
Option 3: Large language model (LLM)
Option 4: Diffusion model
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