Foundational Generative AI E0 | Competency Id 80302 | Quiz Answers
Pre-trained multi task generative ai models are called
Answer: Foundation Models
What is one challenge related to the interpretability of generative Al models?
ā Lack of research interest
ā Inability to train models
ā Models often function as "black boxes"
ā Overly complex mathematical operations
Answer: Models often function as "black boxes"
What is the main goal of Generative Al?
ā AI>DL>ML>Gen Al
ā AI>ML>DL>Gen Al
ā DL>AI>ML>Gen Al
ā None of the above
Answer: AI>ML>DL>Gen Al
True or False: Large Language Models are a subset of Foundation Models
Answer: TRUE
What is one of the key challenges faced by Gen Al models in terms of consistency?
ā Maintaining diverse training data
ā Producing unrealistic outputs
ā Achieving consistent results with the same input
ā None of the above
Answer: Achieving consistent results with the same input
What is the difference between Generative Al and predictive Al?
ā Generative Al creates new content, while predictive Al classifies existing content.
ā Generative Al is more accurate than discriminative Al
ā Generative Al is more efficient than discriminative AI.
ā All are correct
Answer: Generative AI creates new content, while predictive AI classifies existing content
Which of the following is NOT a strategy used in prompt engineering?
ā Using precise language in prompts
ā Providing clear context in the input
ā Adding irrelevant information to the prompt
ā Experimenting with different prompt length.
Answer: Adding irrelevant information to the prompt
Below statement is True or False? Artificial intelligence (Al) is the theory and development of computer systems capable of performing tasks that historically requires human intelligence such as recognizing speech, making decisions, and identifying patterns
Answer: TRUE
You need to create a chatbot for your website that can answer customer queries in real time. Which Al approach would you use?
ā Machine Learning
ā Deep Learning
ā Data Science
ā Generative Al
Answer: Generative AI
What challenge does generative Al face with respect to data?
ā Access to high-quality data
ā Overftting on low-quality data
ā Both A and B
ā Neither A nor B
Answer: Both A and B
What does the principle of fairness in Gen Al entail?
ā Optimizing model architecture to reduce bias
ā Ensuring equitable treatment and addressing biases in outputs
ā Promoting diversity within development teams
ā None of the above
Answer: Ensuring equitable treatment and addressing biases in outputs
What purpose do Fairess Measures serve in Al product development?
ā To ensure discriminatory practices
ā To increase complexity without benefits
ā To enforce biases in decision-making
ā To ensure equal treatment across diverse user groups
Answer: To ensure equal treatment across diverse user groups
What is the purpose of the General Data Protection Regulation (GDPR)?
ā To ensure the responsible use of Al technologies
ā To ensure the development of Al technologies
ā To ensure the use of Al technologies
ā To ensure personal data protection and privacy
Answer: To ensure personal data protection and privacy
Categorize ML Problem: Analyze a Traffic Light image to find the signal - Red or Green or Amber
ā Regression
ā Classification
ā Both
ā None of the above
Answer: Classification
What is the difference between Generative Al and predictive Al?
ā Generative Al creates new content, while predictive Al classifies existing content.
ā Generative Al is more accurate than discriminative Al.
ā Generative Al is more efficient than discriminative Al
ā All are correct
Answer: Generative Al creates new content, while predictive Al classifies existing content
What is a key feature of generative Al?
ā Supervised learning
ā Generating new data similar to training data
ā Rule-based processing
ā High computational speed
Answer: Generating new data similar to training data
What are the types of Data?
ā Structured
ā Unstructured
ā Both Structured & Unstructured
ā None of the above
Answer: Both Structured & Unstructured
Pre-Trained Multi Task Generative Al Models are called
ā Machine Learning Models
ā Deep Learning Models
ā Foundation Models
ā All are correct
Answer: Foundation Models
BARD, the conversational Al chatbot, is developed by which company?
ā Google
ā Open Al
ā Amazon
ā Microsoft
Answer: Google
Which principle emphasizes the need to collect data from a variety of sources and demographics?
ā Bias Assessment
ā Faimess Measures
ā Data Diversity
ā Transparency
Answer: Fairness Measures
What is chain-of-thought prompting?
ā Asking a series of related questions to guide the model
ā Providing a single, simple query to the model
ā Ignoring previous responses from the model
ā Asking only complex questions
Answer: Asking a series of related questions to guide the model
What is the goal of using context in a prompt?
ā To confuse the model
ā To limit the model's response
ā To slow down the model's processing speed
ā To improve the model's understanding and response quality
Answer: To improve the model's understanding and response quality
Post a comment
Get your FREE PDF on "100 Ways to Try ChatGPT Today"
Generating link, please wait for: 60 seconds
Comments
Join the conversation and share your thoughts! Leave the first comment.