16.3 - How Generative AI Tools Work
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Practice Questions
Test your understanding with targeted questions
What does an LLM primarily do?
💡 Hint: Think about text generation.
How many parts does a GAN consist of?
💡 Hint: One creates, the other evaluates.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does LLM stand for?
💡 Hint: The abbreviation relates to language.
True or False: GANs consist of one neural network only.
💡 Hint: Remember the two-part nature of GANs.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a simple GAN architecture to generate images of cats. Describe each part's role and how they interact.
💡 Hint: Focus on how each network provides feedback.
Evaluate a given scenario where an LLM produces a biased response. What steps would you take to correct it?
💡 Hint: Concentrate on training adjustments and monitoring.
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Reference links
Supplementary resources to enhance your learning experience.
- Generative AI: The Future is Now
- How Does a Generative Adversarial Network Work? | Simplilearn
- Introduction to LLMs and GANs
- What is a Generative Adversarial Network? | Nvidia
- Understanding Large Language Models
- Generative AI Applications Explained
- Generative AI: A Complete Beginner's Guide | LinkedIn Learning