What do you know about ChatGPT?

#1. How can prompt engineering contribute to creating engaging chatbot responses?

By using only pre-defined templates

By incorporating humor and personality

By avoiding interactive elements

By restricting responses to factual information

#2. What is the primary purpose of OpenAI’s Playground?

To train new language models

To visualize and interact with ChatGPT in real-time

To restrict access to ChatGPT outputs

To limit experimentation with language models

#3. In which industry might ChatGPT be particularly useful for generating ideas and outlines?

Agriculture

Information Technology

Education

Hospitality

#4. How can fine-tuning contribute to making ChatGPT more relevant to a specific industry?

By limiting the model’s capabilities

By adapting the model to industry-specific language and concepts

By removing industry-specific terms from the model’s training data

By avoiding any fine-tuning processes

#5. In which industry might ChatGPT be applied to automate routine administrative tasks?

Manufacturing

Information Technology

Finance

Healthcare

#6. What is a consideration when deploying ChatGPT-powered applications in real-world environments?

Ignoring user feedback

Frequent model fine-tuning

Lack of scalability planning

Encouraging user experimentation

#7. In what way can ChatGPT handle multi-modal inputs?

By converting images into text

By analyzing audio signals

By processing both text and non-text inputs

By generating images from textual prompts

#8. Who is the CEO of OpenAI, the organization behind ChatGPT?

Mark Zuckerberg

Elon Musk

Jeff Bezos

Sam Altman

#9. How can ChatGPT assist in email drafting?

By sending emails automatically

By providing suggestions for content

By proofreading emails for grammar

By designing email templates

#10. How can ChatGPT contribute to streamlining workflows?

By managing financial transactions

By automating routine administrative tasks

By designing user interfaces

By optimizing website performance