Question 1
Which type of learning uses a mix of labeled and unlabeled data?
Question 2
What distinguishes machine learning from general artificial intelligence?
Question 3
How do generative models differ from discriminative models?
Question 4
Which learning model is NOT a part of deep learning?
Question 5
What potential issue arises from generative AI models creating nonsensical or incorrect content?
Question 6
What is a defining characteristic of foundation models in generative AI?
Question 7
What do artificial neural networks in deep learning mimic?
Question 8
What term is used for creating input prompts to generate desired outputs in generative AI?
Question 9
What types of data can generative AI produce?
Question 10
Which Google Cloud tool enables experimentation with Google's Large Language Models (LLMs)?
Question 11
What type of AI technology can produce various types of content including text, imagery, audio, and synthetic data?
Question 12
What does 'text to image' generative AI entail?
Question 13
Which term is used for models that can perform specific tasks based on text inputs?
Question 14
What can large language models (LLMs) typically generate?
Question 15
What role do transformers play in generative AI?
Question 16
Which tool allows you to create and deploy generative AI models with a variety of resources on Google Cloud?
Question 17
Which type of machine learning model uses labeled data to predict outcomes?