Transforming Computing and Large Language Models Quiz
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Questions and Answers

What is the purpose of prompt tuning?

  • To keep the prompt consistent
  • To adjust the tone of the prompt
  • To craft more effective prompts for better responses from the LLM (correct)
  • To limit the number of prompts used

    • Which prompt pattern involves simulating interactions in a game?

  • Question Refinement Pattern
  • Cognitive Verifier Pattern
  • Audience Persona Pattern
  • Game Play Pattern (correct)

    • In which prompt pattern would you provide a template for writing a letter or resume?

  • Alternative Approaches Pattern
  • Template Pattern (correct)
  • Meta Language Creation Pattern
  • Flipped Interaction Pattern

    • What is the purpose of the Cognitive Verifier Pattern?

    <p>Asking the LLM to explain why it thinks an answer is correct</p> Signup and view all the answers

    How does the Audience Persona Pattern influence question crafting?

    <p>By tailoring questions based on who you're talking to</p> Signup and view all the answers

    What is the main focus of transforming computing?

    <p>Revolutionizing how computers process human language</p> Signup and view all the answers

    How do Large Language Models (LLMs) contribute to transforming computing?

    <p>By generating human-like text for various applications</p> Signup and view all the answers

    What does the ACHIEVE framework stand for in relation to using Large Language Models (LLMs)?

    <p>Assess Task, Create Prompt, Hypothesize Output, Iterate and Experiment, Evaluate Results, Verify and Validate, Extend and Scale</p> Signup and view all the answers

    What is a key characteristic of Large Language Models (LLMs)?

    <p>They have been trained on a large amount of text data</p> Signup and view all the answers

    How can the ACHIEVE framework benefit users when working with Large Language Models (LLMs)?

    <p>By guiding them through clear steps for optimal results</p> Signup and view all the answers

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