Generative AI Objective Questions and Answers - Set 3

This Generative AI quiz contains carefully curated objective questions with correct answers and clear explanations. It is designed for developers, AI engineers, and interview preparation, covering modern generative models, architectures, optimization techniques, and practical applications. This is part 3 of the series.

Practice Generative AI MCQs with Detailed Explanations

Answer at least 12 questions to submit and verify answers.

31 Which reduces bias? Medium

32 What is perplexity? High

33 Which improves latency? Medium

34 What is beam search? High

35 What is greedy decoding? Medium

36 Which improves quality vs speed tradeoff? High

37 What is fine-tuning vs prompting? Medium

38 Which is cost-efficient? Medium

39 What is knowledge cutoff? Medium

40 Which is evaluation metric? Medium

41 What is model quantization? High

42 Which improves memory efficiency? High

43 What is LoRA? High

44 Which is parameter-efficient tuning? High

45 Which improves overall Generative AI systems? Medium