COURSE 3 – GENERATIVE AI: INTRODUCTION AND APPLICATIONS
Module 3: Course Quiz, Project, and Wrap-up
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INTRODUCTION – Course Quiz, Project, and Wrap-up
Within this module, you’ll encounter several valuable components designed to solidify your grasp of the course material. First, there’s a graded quiz aimed at evaluating your comprehension of key concepts.
Additionally, a comprehensive glossary is provided to deepen your understanding of generative AI terminology. For those seeking a hands-on approach, an optional project is available, offering the chance to apply generative AI techniques to generate text, images, and code. Lastly, the module offers guidance on the subsequent steps to advance your learning journey.
Learning Objectives
- Demonstrate understanding of the course concepts through a project and graded quiz.
- Plan for the next steps in your learning journey.
GRADED QUIZ: GENERATIVE AI: INTRODUCTION AND APPLICATIONS
1. Ravi is debating which Generative AI tool he can use to improve and index his code. Can you guide him based on the tools listed here?
- Synthesia
- Bard
- GitHub Copilot (CORRECT)
- DALL·E
Correct! GitHub Copilot and AlphaCode are popular Generative AI tools for code generation.
2. Maria is a scientific visualizer. How can the image-generation capabilities of generative AI help her in her daily work?
- Help her convert text into audio using text-to-speech
- Help write new code snippets based on functionality
- Help her generate synthetic datasets for more diversity
- Help her create comprehensive artwork from a simple sketch (CORRECT)
Correct! Generative AI image generation tools, such as DeepArt.io, can help create comprehensive artwork from a simple sketch.
3. Henri is a robotics engineer and has written a new code. Which Generative AI tool will most likely help him identify and fix bugs in his code?
- WaveGAN
- IBM Watson Code Assistant (CORRECT)
- DALL·E
- Pathways Language Model
Correct! IBM Watson Code Assistant is an AI-based programming assistant that helps autocomplete code, accelerate hard tasks, and generate code for provided input.
4. Harsh needs to monitor and detect anomalies in the company software to reduce downtime and prevent critical failures. Which tool can he use to do that?
- NOLEJ
- DataRobot
- AIO Logic
- Watson AIOps (CORRECT)
Correct! To monitor and detect anomalies in code, tools such as IBM’s Watson AIOps and Moogosft AIOps analyze system logs, metrics, and other data. This helps reduce downtime and prevent critical failures.
5. Taesha is a second-grade teacher wondering how generative AI tools can help her students with special needs and learning disabilities. What do you think?
- Develop diagnostic tools
- Analyze system logs
- Track learner progress (CORRECT)
- Enhance code maintainability
Correct! Generative algorithms can track learner progress over time. Known as knowledge tracing, this helps provide the right pacing and content for individual needs.
6. Nadia was using ChatGPT to debug and correct a code that she was working on. However, when she started to __________, she found this AI tool was struggling to execute the task.
- Ask for guidance on how to run the code
- Generate a complex code from scratch (CORRECT)
- Translate the code into another language
- Create a code from image prompts
Correct! While ChatGPT can generate code from images, it cannot generate large or complex code from scratch.
7. Ryan interns for a popular art gallery. He is looking for software to help him remove specific trees from a modernist landscape image. A friend suggested he use ______________ capabilities in DALL-E.
- Style transfer
- Text-to-image generation
- Image-to-image translation
- Inpainting (CORRECT)
Correct! Inpainting is a technique that helps remove unwanted objects in images while preserving continuity and context. DALL-E and Stable Diffusion provide inpainting capabilities.
CONCLUSION – Course Quiz, Project, and Wrap-up
In conclusion, this module serves as a pivotal resource in advancing your knowledge and proficiency in generative AI. By offering a graded quiz, glossary, optional project, and guidance for further learning, it equips you with the tools and understanding necessary to navigate this dynamic field.
Whether reinforcing core concepts, expanding your vocabulary, honing practical skills, or planning your educational trajectory, this module empowers you to embark on a rewarding journey of discovery and growth in the realm of generative AI.
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