This is the set 2 for 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.
Which of the following is a closed source large language model?
○ GPT-3
○ T5
○ Openlm
○ All of the above
Answer: GPT-3
What is one major ethical concern in the use of generative Al?
○ Efficient data storage
○ Model interpretability
○ Creation of biased content
○ Faster model training
Answer: Creation of biased content
In prompt engineering, why is it important to specify the desired format or structure of the response?
○ LLMs are not capable of generating responses in specific formats.
○ It helps guide the LLM to produce responses that match the desired criteria.
○ Specifying the format is unnecessary and may limit the LLM's creativity
○ LLMs are automatically trained to follow specific response formats.
Answer: It helps guide the LLM to produce responses that match the desired criteria.
Choose the Generative Al models for language from the following
○ Generative Adversarial Networks
○ Diffusion models
○ Generative Pre-trained Transformer
○ None of the above
Answer: Generative Pre-trained Transformer
What does "one-shot" prompting refer to in the context of LLMs?
○ Providing a single prampt or query to the LLM fof generating responses.
○ Training the LLM using one example of the desired task
○ Using one LLM model for muluple tasks simultaneously
○ Prompting the LLM with a single word for generating complex responses
Answer: Training the LLM using one example of the desired task
Choose the Generative Al models for language from the following
○ Generative Adversarial Networks
○ Diffusion models
○ Generative Pre-trained Transformer
○ None of the above
Answer: Generative Pre-trained Transformer
Which of the following statements is true about open source large language models?
○ They cannot be modified by users
○ Their development is typically controlled by one company
○ They allow for community contributions and improvements
○ They are generaly proprietary in nature..
Answer: They allow for community contributions and improvements
Which is not a limitation of using closed source LLMs?
○ There can be data privacy concerns preventing you from sharing data with the LLM creators
○ Consistently using closed source LLMs for various use cases can incur high costs
○ Closed-source LLMs may have limitations in terms of customization and fine-tuning for specific applications or domains
○ Closed source LLMs are always less accurate and perform poorly compared to open-source LLMs
Answer: Consistently using closed source LLMs for various use cases can incur high costs
Generative Al models are statistical models that learn to generate new data by analyzing existing data. Say True or False
Answer: TRUE
A news agency wants to use Al to create unique news articles based on a given topic. This is an example for which kind of generative Al use case
○ Question and Answers Generation
○ Content Generation
○ Content Summarization
○ All the above
Answer: Content Generation
Which of the following is a characteristic of a foundation model?
○ It is typically trained on a small dataset
○ It is specialized for a specific task
○ It is trained on a large and diverse dataset
○ It performs well out-of-the-box without fine-tuning
Answer: It is trained on a large and diverse dataset
Which characteristic is common to closed source large language models?
○ Open licensing
○ Publicly available source code
○ Proprietary technology
○ Community contributions
Answer: Proprietary technology
Which of the following is a Generative Al Application?
○ A company wants to use Al to generate personalized meal plans based on individual dietary preferences
○ A teacher wants to use Al to generate questions for quizzes based on a given topic .
○ A language teacher wants to create Al-based exercises to help students learn new vocabulary
○ AIl the above
Answer: All the above
What is one challenge in ensuring faimess in generative Al?
○ Unbiased model training
○ Using diverse and representative training data
○ Ignoring model biases
○ Focusing only on accuracy metrics
Answer: Using diverse and representative training data
Can I generate code using Generative Al models? Judge its True or False
Answer: TRUE
Which of the following is a disadvantage of open source large language models?
○ Lack of transparency
○ Limited customization
○ Proprietary licensing
○ Potential for less controlled use
Answer: Potential for less controlled use
When prompting an LLM for a text generation task, what is the benefit of providing context or background information in the prompt?
○ It adds unnecessary complexity to the prompt.
○ It helps the LLM understand the context and generate more relevan content
○ It confuses the LLM and leads to incorrect responses.
○ It has no impact on the LLM's performance
Answer: It helps the LLM understand the context and generate more relevan content
