Core Concepts in Machine Intelligence

A concise set of questions designed to assess understanding of key AI topics without requiring deep research.

machine learningartificial intelligenceprompt engineeringtechnology trendscomputer visionneural networksAI ethicsAI toolsnatural language processinggenerative models
Difficulty:MEDIUM

Quiz Details

Questions8
CategoryTechnology & Programming
DifficultyMEDIUM
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Quiz Questions

Answer all questions below and test your knowledge.

  1. 1

    In a transformer model, which component is responsible for relating each token to every other token in the input sequence?

    Question 1
  2. 2

    Which loss function is most appropriate for training a classifier that outputs a probability distribution over multiple classes?

    Question 2
  3. 3

    What term describes the practice of constraining model outputs to avoid generating harmful or unsafe content?

    Question 3
  4. 4

    Which neural network architecture first introduced residual connections to ease the training of very deep models?

    Question 4
  5. 5

    Which evaluation metric is commonly used to compare the similarity of generated text to a reference translation?

    Question 5
  6. 6

    Which programming language added native support for structural pattern matching in its 3.10 release?

    Question 6
  7. 7

    What is the term for AI systems that can modify their own source code during execution to improve performance?

    Question 7
  8. 8

    What technique is most widely used to shrink large language models while keeping most of their capabilities?

    Question 8

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