Module 1: Introduction and Capabilities of Generative AI
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In this post, I provide accurate answers and detailed explanations for Module 1: Introduction and Capabilities of Generative AI of Course 2: Generative AI: Introduction and Applications – IBM Generative AI Engineering Professional Certificate
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
Practice Quiz: Generative AI and Its Capabilities
Practice Assignment
1. Generative AI models can _________ the training data to create unique content.
- Learn from ✅
- Differentiate between
- Identify patterns and classify
- Draw conclusions from
Explanation:
Generative AI models learn patterns and structures from the training data to generate new, unique content that is not an exact replication of the data.
2. What does generative AI do differently than discriminative AI?
- Mimics the human ability to analyze data
- Mimics the human ability to create data ✅
- Mimics the human ability to predict data
- Mimics the human ability to classify data
Explanation:
Generative AI focuses on creating new data (e.g., text, images, or audio), while discriminative AI focuses on classifying or making decisions based on existing data.
3. What type of generative AI capability does a large language model primarily exhibit?
- Image generation
- Audio generation
- Data augmentation
- Text generation ✅
Explanation:
Large language models, such as GPT models, are designed to generate coherent and contextually relevant text based on input prompts, making text generation their primary capability.
Graded Quiz: Introduction and Capabilities of Generative AI
Graded Assignment
4. Using a generative AI tool, Emily wants to create an image of a zebra-striped cat with a purple hat. Identify the best prompt for this task.
- What’s the difference between a zebra and a cat?
- List cat breeds that look like zebras or have stripes.
- Find a zebra-striped cat that wears a purple hat.
- Draw an image of a zebra-striped cat with a purple hat. ✅
Explanation:
A clear and specific prompt like “Draw an image of a zebra-striped cat with a purple hat” is ideal for generative AI tools designed for image creation. It ensures the tool understands the exact requirements to produce the desired output.
5. Tiana is designing a game and decides to create one avatar with specific personality traits. What type of generative AI capability is Tiana using?
- Ability to create virtual worlds ✅
- Ability to generate dynamic films
- Ability to synthesize images
- Ability to augment data
Explanation:
Designing avatars in a game typically aligns with creating immersive environments and experiences, hence connecting to virtual worlds rather than solely synthesizing static images.
6. A metaverse platform with generative AI capabilities will allow you to access _______________, which is not possible with other generative AI tools.
- Clear and contextually relevant text
- Synthetic images
- Virtual avatars ✅
- Augmented data sets
Explanation:
Correct as is. Metaverse platforms specialize in creating and interacting with personalized virtual avatars.
7. What input data does VideoGPT best respond to?
- Video prompts
- Text prompts ✅
- AI-generated code
- Image prompts
Explanation:
Despite its name, VideoGPT primarily uses text-based prompts to generate videos. This aligns with typical generative AI workflows where textual inputs guide visual outputs.
Related contents:
Module 2: Module 2: Applications and Tools of Generative AI
Module 3: Course Quiz, Project, and Wrap-up