What is Generative AI? -Exam Answers

I've shared answers of What is Generative AI? Linked In course.

1) In Considering the future implications of generative AI on the job market, what ski set is essential for individuals seeking to thrive in this evolving landscape?

a) mastery of machine learning algorithms and programming languages used in generative AI

b) proficiency in utilizing existing creative tools and software for content generation

c) specialized technical skills in operating and managing automated systems

d) development of unique personal emotional, interpersonal and creative abilities

ANS: d) development of unique personal emotional, interpersonal and creative abilities

2) What are the two primary recommendations for an executive or leader to implement with AI?

a) training for all employees and an ethical board

b) engaging with technology and self-monitoring

c) self-questioning and moral compass

ANS: a) training for all employees and an ethical board

3) What is the most notable functionality of Natural Language model like ChatGPT?

a) its large scale capability to generate human-like text

b) its capability to write hyper creative for a variety of contents such as books, slogans, and scripts

c) its ability to understand the meaning of the text it generates

d) its capability to influence people to make decision or them

ANS: a) its large scale capability to generate human-like text

4) You are an experienced AI user and want to be able to choose different modes. What will you use?

a) a notebook

b) a codex

c) a generated algorithm

d) a creative application

ANS: a) a notebook

5) How should we think of the relationship between humans and generative AI?

a) AI will become singularly responsible for decision-making and creativity

b) AI is necessary to maintain objectivity and eliminate human bias

c) AI will likely devalue human contribution and creativity

d) Human input and creativity will work in conjunction with AI to produce meaningful progress.

ANS: d) Human input and creativity will work in conjunction with AI to produce meaningful progress.

6) What is true about using text-to-image generation services?

a) They value design and art sensitivities.

b) They are not dependent on the algorithm quality.

c) They are dependent on dataset quality.

ANS: c) They are dependent on dataset quality.

7) Why might marketers use text-to-image models in the creative process?

a) They can efficiently suggest garments for customers based on their fashion style.4

b) They can be more efficient to use and provide a unique look and feel.

c) They have the ability to generate 3D worlds for film more efficiently.

ANS: b) They can be more efficient to use and provide a unique look and feel.

8) Which AI focuses on classifying or identifying content that is based on pre-existing data?

a) Unsupervised learning

b) narrow

c) reactive

d) discriminative

ANS: d) discriminative

9) Do you need to have a technical AI background in order to start a generative AI venture?

a) No. As a business leader with no technical background, you can either make partnership with generative AI research institutions, you can use open-source model in your next business endeavor. And as a hobbyist, a maker, or a creative, you can make use of a generative AI services that are free or are accessible with a modest fee.

b) Yes, because it is hyper complex. Several generative AI models and papers comes out every day and in order to work in generative AI, you need to be able to write generative AI algorithms, and you need to be able to train your own datasets.

c) No. Generative AI is so advanced that the code is writing itself. You almost do not need to hire anyone, you can do everything, including programming to product development on your own.

ANS:

a) No. As a business leader with no technical background, you can either make partnership with generative AI research institutions, you can use open-source model in your next business endeavor. And as a hobbyist, a maker, or a creative, you can make use of a generative AI services that are free or are accessible with a modest fee.

10) How can Variational Autoencoders (VAEs) be used in anomaly detection?

a) The natural language processing of VAEs help them compute complex information. With their large-scale transformer architecture, they can quicky process language-based information.

b) VAEs can be trained on a dataset of normal data, and later on be used to identify instances that deviate from the normal data.

c) VAEs are trained with large datasets, and they have the capability to future predict anomalies by analyzing the behaviors of a production systems.

ANS: b) VAEs can be trained on a dataset of normal data, and later on be used to identify instances that deviate from the normal data.