Artificial Intelligence MCQ (Multiple Choice Questions)
What is the primary function of generative AI in the field of cosmology?
To replace cosmologists
To assist in modeling and simulating cosmic phenomena
To physically create new universes
To communicate with extraterrestrial life
What is the main contribution of SAGAN (Self-Attention GAN)?
To generate higher quality images
To incorporate self-attention mechanisms
To improve training speed
To reduce model size
Edge computing could help address which challenge related to deploying large Generative AI models?
lack of training data
privacy concerns
latency and bandwidth limitations
biased outputs
What is the purpose of "nucleus sampling" in LLM-based text generation?
Selecting words based on a probability threshold
Generating multiple diverse outputs
Limiting the output length
Improving the model's general knowledge
What is one challenge in using generative AI for creative tasks?
Lack of processing power
Balancing AI assistance with human creativity
Too much creativity
Inability to generate any creative content
Why might specifying the audience be important in prompt engineering?
It's not important
To tailor the AI's response to the appropriate level and context
To make the output longer
To confuse the AI
What does the term "latent space" refer to in generative AI?
The physical space where AI models are stored
The compressed representation of input data
The output space of generative models
The training dataset
What is the primary advantage of using Custom Vision API for fault detection in manufacturing?
Higher accuracy than traditional methods
Easier implementation than manual inspection
Ability to learn from small datasets
Real-time processing capabilities
Which tool is commonly used for version control in MLOps?
TensorFlow
PyTorch
Git
Scikit-learn
Which of the following is a generative AI model for language?
GPT-3
BERT
Word2Vec
All of the above
What is the new method of providing input to foundation models that ChatGPT popularized?
Prompt engineering
Data mining
Model fine-tuning
Transfer learning
In what way can generative AI revolutionize the field of education?
Personalizing learning experiences
Optimizing manufacturing processes
Enhancing social media engagement
Developing new software applications
What is the primary function of AI in smart home devices?
To make homes intelligent
To automate and optimize home functions
To spy on homeowners
To make homes more expensive
What is the main advantage of using conditional generative models?
Reduced computational requirements
Improved control over generated outputs
Increased model size
Faster training times
What should you add to a Microsoft Bot Framework Composer chatbot to allow users to cancel in-progress transactions with minimal development effort?
A new dialog
A dialog trigger
An adaptive card
A language understanding model
What is the purpose of the PyEMD library in NLP?
To provide pre-trained word embeddings
To offer Earth Mover's Distance calculations for text similarity
To perform sentiment analysis
To generate text summaries
Which generative AI technique is used for text-to-speech synthesis?
k-Means clustering
Principal Component Analysis
WaveNet
Decision Trees
Which aspect of Databricks Lakehouse AI is crucial for deploying generative AI models?
Data ingestion
Model serving
Feature engineering
Data cleansing
What is the purpose of layer normalization in transformer models?
To increase model depth
To apply regularization
To stabilize training
To reduce model size
What is the main purpose of the ROUGE metric in evaluating language model outputs?
To measure the quality of generated summaries
To assess grammatical correctness
To evaluate translation accuracy
To measure model size
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