PSGV-AI-Lesson3-Quiz

What is Generative AI primarily used for?

• Classification

• Regression

• Content creation

• Clustering

• Search

Answer explanation

Generative AI is primarily used for content creation, enabling the generation of text, images, and other media. This distinguishes it from tasks like classification, regression, clustering, and search, which focus on data analysis.

What does the term "fine-tuning" refer to in Generative AI?

• Adjusting pre-trained models

• Training from scratch

• Optimizing hyperparameters

• Reducing model size

• Increasing dataset size

Answer explanation

In Generative AI, "fine-tuning" refers to adjusting pre-trained models on specific tasks or datasets to improve performance, rather than training a model from scratch. This process leverages existing knowledge for better results.

Which of the following models is commonly associated with Generative AI?

• CNN

• GPT

• Decision Tree

• KNN

• Random Forest

Answer explanation

GPT (Generative Pre-trained Transformer) is a model specifically designed for generating text, making it a prime example of Generative AI. Other options like CNN and Decision Trees are not primarily generative models.

What is a “zero-shot” task in Generative AI?

• Task without training data

• Task with fine-tuning

• Task with labeled data

• Task with testing data

• Task requiring pretraining

Answer explanation

A 'zero-shot' task in Generative AI refers to a task performed without any training data specific to that task. This means the model must rely on its pre-existing knowledge to generate responses, making 'Task without training data' the correct choice.

What is a key principle of effective prompt engineering?

• Using long paragraphs

• Using ambiguous terms

• Using specific context

• Avoiding examples

• Ignoring task type

Answer explanation

Using specific context is crucial in prompt engineering as it helps clarify the task and guides the model to generate relevant and accurate responses, unlike ambiguous terms or long paragraphs that can confuse the model.

In the context of Generative AI, what does “temperature” control?

• Text coherence

• Creativity of output

• Model accuracy

• Training speed

• Token count

Answer explanation

In Generative AI, 'temperature' controls the creativity of output. A higher temperature results in more diverse and creative responses, while a lower temperature produces more predictable and coherent text.

Which organization developed GPT models?

• IBM

• Google

• OpenAI

• Amazon

• Microsoft

Answer explanation

The GPT models were developed by OpenAI, a research organization focused on artificial intelligence. Other options like IBM, Google, Amazon, and Microsoft have their own AI projects, but they did not create the GPT models.

What is a “prompt” in Generative AI?

• Model output

• Dataset

• User input

• Training data

• Fine-tuning process

Answer explanation

In Generative AI, a 'prompt' refers to the 'user input' that guides the model in generating responses. It is the initial text or query provided by the user to elicit a specific output from the AI.

Which of these tools is commonly used for Generative AI image creation?

• ChatGPT

• Stable Diffusion

• TensorFlow

• PyTorch

• Tableau

Answer explanation

Stable Diffusion is a popular tool for Generative AI image creation, utilizing deep learning techniques to generate images from text prompts. The other options, like ChatGPT, TensorFlow, and PyTorch, serve different purposes.

What is a potential ethical concern in Generative AI?

• Faster processing

• Inaccurate predictions

• Bias in outputs

• Model transparency

• Reduced efficiency

Answer explanation

Bias in outputs is a significant ethical concern in Generative AI, as it can lead to unfair or discriminatory results based on the data used to train the models, impacting individuals and communities negatively.