2026

Technology & Programming

Core Concepts in Machine Intelligence

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

#machine learning#artificial intelligence#prompt engineering#technology trends#computer vision#neural networks#AI ethics#AI tools#natural language processing#generative models

Quiz Intelligence

Total Questions

8

Difficulty Level

medium

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
In a transformer model, which component is responsible for relating each token to every other token in the input sequence?
Question 1
2
Which loss function is most appropriate for training a classifier that outputs a probability distribution over multiple classes?
Question 2
3
What term describes the practice of constraining model outputs to avoid generating harmful or unsafe content?
Question 3
4
Which neural network architecture first introduced residual connections to ease the training of very deep models?
Question 4
5
Which evaluation metric is commonly used to compare the similarity of generated text to a reference translation?
Question 5
6
Which programming language added native support for structural pattern matching in its 3.10 release?
Question 6
7
What is the term for AI systems that can modify their own source code during execution to improve performance?
Question 7
8
What technique is most widely used to shrink large language models while keeping most of their capabilities?
Question 8

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Core Concepts in Machine Intelligence

Quiz Intelligence

Quiz Questions

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

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

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

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

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

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

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

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