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. In which industry might ChatGPT be particularly useful for generating educational content?

Healthcare

Finance

Education

Manufacturing

#3. What is a consideration in optimizing ChatGPT for fairness?

Removing all bias from model outputs

Acknowledging and addressing potential biases in prompts and responses

Ignoring potential biases to prioritize model accuracy

Prioritizing biases that align with user preferences

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

Mark Zuckerberg

Elon Musk

Jeff Bezos

Sam Altman

#5. What is an example of creating engaging learning materials with ChatGPT?

Designing chatbots for customer support

Generating interactive quizzes and assessments

Analyzing stock market trends

Automating data analysis processes

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

Manufacturing

Information Technology

Finance

Healthcare

#7. 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

#8. What is the primary purpose of ChatGPT?

To analyze images

To transform natural language

To play video games

To compose music

#9. What is an important consideration when exploring and addressing bias in language models?

Ignoring the impact of bias on model outputs

Acknowledging and actively addressing bias

Amplifying biased responses for diversity

Prioritizing biases that align with user preferences

#10. How can prompt engineering address ambiguity in language models?

By avoiding ambiguous language in prompts

By allowing models to guess ambiguous intentions

By refining prompts to provide clearer context

By ignoring ambiguous prompts