Foundational Generative AI E0 | Competency Id 80302 | Quiz Answers

Foundational Generative AI E0 | Competency Id 80302 | Quiz Answers

Friday, June 21, 2024
~ 5 min read
iEvolve Foundational Generative AI E0 competency id 80302. Test your knowledge with this updated set of questions on Generative AI E0. Find answers to questions covering various aspects of generative AI technologies and their applications.


Pre-trained multi task generative ai models are called

Answer: Foundation Models



What is one challenge related to the interpretability of generative Al models?

β—‹ Lack of research interest

β—‹ Inability to train models

β—‹ Models often function as "black boxes"

β—‹ Overly complex mathematical operations

Answer: Models often function as "black boxes"


What is the main goal of Generative Al?

β—‹ AI>DL>ML>Gen Al

β—‹ AI>ML>DL>Gen Al

β—‹ DL>AI>ML>Gen Al

β—‹ 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?

β—‹ Maintaining diverse training data

β—‹ Producing unrealistic outputs

β—‹ Achieving consistent results with the same input

β—‹ None of the above

Answer: Achieving consistent results with the same input



What is the difference between Generative Al and predictive Al?

β—‹ Generative Al creates new content, while predictive Al classifies existing content.

β—‹ Generative Al is more accurate than discriminative Al

β—‹ Generative Al is more efficient than discriminative AI.

β—‹ 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?

β—‹ Using precise language in prompts

β—‹ Providing clear context in the input

β—‹ Adding irrelevant information to the prompt

β—‹ 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?

β—‹ Machine Learning

β—‹ Deep Learning

β—‹ Data Science

β—‹ Generative Al

Answer: Generative AI



What challenge does generative Al face with respect to data?

β—‹ Access to high-quality data

β—‹ Overftting on low-quality data

β—‹ Both A and B

β—‹ Neither A nor B

Answer: Both A and B



What does the principle of fairness in Gen Al entail?

β—‹ Optimizing model architecture to reduce bias

β—‹ Ensuring equitable treatment and addressing biases in outputs

β—‹ Promoting diversity within development teams

β—‹ None of the above

Answer: Ensuring equitable treatment and addressing biases in outputs



What purpose do Fairess Measures serve in Al product development?

β—‹ To ensure discriminatory practices

β—‹ To increase complexity without benefits

β—‹ To enforce biases in decision-making

β—‹ 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)?

β—‹ To ensure the responsible use of Al technologies

β—‹ To ensure the development of Al technologies

β—‹ To ensure the use of Al technologies

β—‹ 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

β—‹ Regression

β—‹ Classification

β—‹ Both

β—‹ None of the above

Answer: Classification



What is the difference between Generative Al and predictive Al?

β—‹ Generative Al creates new content, while predictive Al classifies existing content.

β—‹ Generative Al is more accurate than discriminative Al.

β—‹ Generative Al is more efficient than discriminative Al

β—‹ All are correct

Answer: Generative Al creates new content, while predictive Al classifies existing content



What is a key feature of generative Al?

β—‹ Supervised learning

β—‹ Generating new data similar to training data

β—‹ Rule-based processing

β—‹ High computational speed

Answer: Generating new data similar to training data



What are the types of Data?

β—‹ Structured

β—‹ Unstructured

β—‹ Both Structured & Unstructured

β—‹ None of the above

Answer: Both Structured & Unstructured



Pre-Trained Multi Task Generative Al Models are called

β—‹ Machine Learning Models

β—‹ Deep Learning Models

β—‹ Foundation Models

β—‹ All are correct

Answer: Foundation Models



BARD, the conversational Al chatbot, is developed by which company?

β—‹ Google

β—‹ Open Al

β—‹ Amazon

β—‹ Microsoft

Answer: Google



Which principle emphasizes the need to collect data from a variety of sources and demographics?

β—‹ Bias Assessment

β—‹ Faimess Measures

β—‹ Data Diversity

β—‹ Transparency

Answer: Fairness Measures



What is chain-of-thought prompting?

β—‹ Asking a series of related questions to guide the model

β—‹ Providing a single, simple query to the model

β—‹ Ignoring previous responses from the model

β—‹ 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?

β—‹ To confuse the model

β—‹ To limit the model's response

β—‹ To slow down the model's processing speed

β—‹ To improve the model's understanding and response quality

Answer: To improve the model's understanding and response quality


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