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Introduction to Generative AI Module 01Quiz Answers
Introduction to Generative AI: Quiz Answers
Q1. What is Generative AI?
Correct Answer: Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, audio, and video.
Explanation: Generative AI focuses on generating new and original content in various formats using machine learning models.
Q2. What is an example of both a generative AI model and a discriminative AI model?
Correct Answer: A generative AI model could be trained on a dataset of images of cats and then used to generate new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs.
Explanation: Generative AI creates new examples based on training data (e.g., generating images of cats), while discriminative AI distinguishes between categories (e.g., classifying images as cats or dogs).
Q3. What are foundation models in Generative AI?
Correct Answer: A foundation model is a large AI model pretrained on a vast quantity of data that was “designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.
Explanation: Foundation models are pretrained on large datasets and provide the basis for fine-tuning in various applications, enabling flexibility and scalability.
Q4. Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect. What are some factors that can cause hallucinations? Select three options.
Correct Answers:
- The model is not trained on enough data.
- The model is not given enough context.
- The model is trained on noisy or dirty data.
Explanation: Hallucinations in generative AI occur due to insufficient training data, lack of context in prompts, or poor-quality training datasets.
Q5. What is a prompt?
Correct Answer: A prompt is a short piece of text that is given to the large language model as input, and it can be used to control the output of the model in many ways.
Explanation: Prompts guide the AI model by providing input that influences the model’s output in desired ways.
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Introduction to Generative AI Quiz Answers