Gen AI Day-29

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Question 1

What is an AI prompt?

  • A training dataset

  • A question, command or statement given to an AI model to guide its output

  • A model’s loss function

  • A hidden layer in neural networks

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Question 2

Which role is not part of prompt engineering’s process?

  • Context

  • Role

  • Backpropagation

  • Task

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Question 3

What is the goal of AI prompt engineering?

  • To refine and optimize prompts so AI outputs are accurate, relevant and aligned

  • To retrain AI models

  • To replace large language models

  • To compress embeddings

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Question 4

Which of these is a technique in prompt engineering?

  • Contextual prompts

  • Dropout regularization

  • Weight decay

  • ReLU activation

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Question 5

Which is a best practice when creating a good AI prompt?

  • Always use open-ended questions only

  • Use ambiguous language

  • Avoid testing or refining

  • Be clear and concise

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Question 6

Prompts can take many forms, which of these is not listed as a prompt type?


  • Text Generation

  • Code Generation

  • Weight Pruning

  • Classification

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Question 7

Why is prompt engineering considered important?


  • It improves model performance and reduces bias


  • It trains models faster


  • It is only for image models

  • It eliminates the need for data


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Question 8

What challenge does AI prompts face?


  • Model scaling

  • AI hallucinations

  • GPU memory limit

  • Lack of compute

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Question 9

What should we not do when crafting a prompt?

  • Use vague or general commands

  • Provide examples

  • Avoid ambiguity

  • Use clear instructions

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Question 10

Which statement captures the relationship between prompt and output?

  • The prompt has no effect on output

  • The prompt directly influences the relevance and correctness of the AI’s response

  • The prompt trains the AI

  • The prompt only determines token length

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