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Generative AI Quiz

Generative AI is transforming industries by enabling machines to create text, images, music, and even software code. Mastering this skill is critical as it powers innovative solutions across sectors like healthcare, entertainment, and finance.

This 15-minute quiz helps you assess your understanding of key concepts in Generative AI, including model architectures, applications, and real-world use cases. Whether you’re new to AI or already working in the field, this quiz will test your grasp of generative models and their potential, providing you with insights into areas where you can improve and deepen your knowledge.

Type: MCQ
No of Questions: 15
Time: Unlimited

Page 1 of 15

Which term is used to describe the process of learning a probabilistic model that explains how data is generated? Adversarial Generative Networks Discriminator

Page 2 of 15

Which of the following is an application of generative AI? Speech recognition Image classification Text summarization Sentiment analysis

Page 3 of 15

Which of the following is an example of a Generative AI model? CNN GPT-4 Naive Bayes K-means clustering

Page 4 of 15

What is a common application of Generative AI in media? Fraud detection Data compression Image generation Sentiment analysis

Page 5 of 15

What does the "Large" in Large Language Models refer to? The length of input text The size of the dataset used for training The number of parameters in the model The number of languages the model supports

Page 6 of 15

Which of the following is a common use case of LLMs? Text classification Object detection Machine translation Time series forecasting

Page 7 of 15

What is the purpose of prompt engineering in LLMs? Optimizing the model’s architecture Creating input queries to get desired outputs Training the model Fine-tuning the model for efficiency

Page 8 of 15

Which of the following can improve the quality of the output in prompt engineering? Shortening the prompt Using ambiguous terms Adding specific instructions Leaving the prompt incomplete

Page 9 of 15

What is a "zero-shot" response in the context of prompt engineering? A response generated without prior training A response given without task-specific examples A response that matches an exact template A response that answers multiple queries

Page 10 of 15

Why are vector embeddings important for retrieval in a vector database? They allow precise key-based lookups They transform data into fixed-size numeric representations They reduce data storage requirements They speed up transaction processing

Page 11 of 15

In a Latent Diffusion Model (LDM), what is the primary function of the diffusion process? Compress the data into latent space Reconstruct high-quality images from noise Gradually add noise to data to learn a robust representation Train the model using reinforcement learning

Page 12 of 15

What is the role of a "decoder" in a Latent Diffusion Model? Generate random noise Convert latent space representations back into a higher-dimensional space (e.g., images) Perform feature extraction from the input Apply reinforcement to optimize the latent variables

Page 13 of 15

What is the primary advantage of the Self-Attention mechanism in Transformer models? Reducing computation time in training Enhancing the focus on all input tokens at once Capturing long-range dependencies between input tokens Decreasing the number of layers in the neural network

Page 14 of 15

In the Self-Attention mechanism, which components are used to determine the relationship between different tokens? Recurrent layers and memory states Convolutional layers and filters Queries, Keys, and Values Hidden layers and activation functions

Page 15 of 15

Retrieval-Augmented Generation (RAG) is particularly effective because it: Retrieves historical training data from the model's training set Searches for relevant information from an external knowledge base to enhance the model’s response Selects the optimal model architecture based on input queries Retrieves weights and biases for model fine-tuning

Please provide details to proceed. Receive answers to all questions in your email. You will also receive the coupon code for 100% discount on course 'Generative AI & LLM 101: A Comprehensive Introduction'.

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Talent Acquisition
Workforce Transformation
Live Training
- Bootcamps
  - Generative AI Live Bootcamp
  - MLOps and AutoML Live Bootcamp
- Self-Paced Learning
Mentoring
Guidance
Blogs
Quiz