GenAI Basics · Question 17 · Easy
What mainly distinguishes generative AI from traditional predictive (discriminative) AI?
- Generative AI creates new content such as text, images or code, while predictive AI mainly classifies or predicts labels and values
- Generative AI does not use any training data
- Generative AI can only work with numbers
- Generative AI always runs without a computer
Answer and explanation
Answer: A. Generative AI creates new content such as text, images or code, while predictive AI mainly classifies or predicts labels and values
Explanation: A spam classifier outputs a label, while a generative model produces new text, images or audio that resembles its training data.
Previous: Asking an LLM to perform a task with only an instruction and no examples in… · Next: In the model family name GPT, what does GPT stand for?
Practise genai basics
Try a fresh set of genai basics questions with an explanation after every answer, free and without signing up: GenAI Basics practice. Or sit a full placement mock test.
More genai basics questions
- A model has a context window of 8,000 tokens, shared by the input and the…
- What is the main pre-training objective of decoder-only (GPT-style) large…
- Asking an LLM to perform a task with only an instruction and no examples in…
- In the model family name GPT, what does GPT stand for?
- Further training an already pre-trained model on a smaller, task-specific…
- A model that can accept both an image and a text question about that image…
- How do diffusion models, widely used for text-to-image generation, generate an…
- What does top-p (nucleus) sampling do when choosing the next token?
- Assume that, on average, one token corresponds to about 0.75 English words…
- What is chain-of-thought prompting?
More technical & programming practice
Pseudo-code · C Programming · Java · Python · Data Structures · Algorithms · Object-Oriented Programming · DBMS
LogicWiz Exams home · All practice topics · Placement mock tests · Daily 10 challenge