Study guides · Stuff Every AI Scout Should Know

Stuff Every AI Scout Should Know: the Study Guide

Practice facts for the Artificial Intelligence merit badge. Not an official Scouting America credential. Grab a snack: this guide is the friendly version, with the answers explained and a groan-worthy joke waiting at the end of most cards.

Knowing AI Scout saves you money, time and the occasional embarrassment.

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Chapter 1: ML Fundamentals

What does AI stand for?

Short answer: Artificial Intelligence

AI means Artificial Intelligence, the ability of computers to do tasks linked to human thinking.

Groan of the day: AI is smart, but it still needs you to be the brains of the outfit.

Sources: Artificial intelligence

What does GPT stand for?

Short answer: Generative Pre-trained Transformer

GPT means Generative Pre-trained Transformer, a type of large language model.

Groan of the day: GPT: Great at Producing Text, sometimes too great.

Sources: Artificial intelligence

What was Deep Blue known for?

Short answer: Beating chess champion Garry Kasparov

Deep Blue became the first computer to beat a reigning world chess champion in 1997.

Groan of the day: Deep Blue made chess history, one move at a time.

Sources: Artificial intelligence

What is transfer learning?

Short answer: Applying knowledge from one problem to a new one

Transfer learning applies knowledge gained from one problem to a new problem.

Groan of the day: Transfer learning moves skills, not boxes.

Sources: Artificial intelligence

What does NLP stand for?

Short answer: Natural Language Processing

NLP stands for natural language processing, which lets programs handle human language.

Groan of the day: NLP helps computers chat, not chatter.

Sources: Artificial intelligence

What is a deepfake?

Short answer: A fake image, audio, or video made with AI

Deepfakes are AI-generated media that can look or sound real and can affect a person's reputation.

Groan of the day: That deepfake is a real fake-out.

Sources: Artificial intelligence

What is deep learning?

Short answer: Machine learning using many neural network layers

Deep learning uses several layers of neurons to progressively extract higher-level features.

Groan of the day: Deep learning goes layer by layer.

Sources: Artificial intelligence

What is a filter bubble?

Short answer: A place where users see repeated similar content

Filter bubbles can convince users that repeated misinformation is true and undermine trust.

Groan of the day: Pop that filter bubble with a fresh source.

Sources: Artificial intelligence

The cheat sheet

The whole guide on one screen. Screenshot it, print it, stick it on the fridge.

  • AI means Artificial Intelligence, the ability of computers to do tasks linked to human thinking.
  • NLP lets programs read, write, and communicate in human languages.
  • Artificial neural networks loosely model the neurons in a biological brain.
  • GPT means Generative Pre-trained Transformer, a type of large language model.
  • GPT models are pre-trained by predicting the next token, usually a word or punctuation.
  • AlphaFold 2 approximated 3D protein structures in hours rather than months.
  • Deep Blue became the first computer to beat a reigning world chess champion in 1997.
  • A knowledge base is knowledge stored in a form a program can use.
  • Neural networks are trained to recognize patterns and find them in new data.
  • Chatbots let people ask a question or request a task using simple text.
  • Machine learning studies programs that can improve their performance on a task automatically.
  • Supervised learning requires labeling training data with the expected answers.

Pop quiz

Think of your answer first, then peek.

  1. What does AI stand for?
    • Artificial Intelligence
    • Advanced Internet
    • Automated Input
    Show the answer

    Artificial Intelligence. AI means Artificial Intelligence, the ability of computers to do tasks linked to human thinking.

  2. What is machine learning the study of?
    • Writing paper manuals
    • Programs that improve automatically on a task
    • Building faster computer screens
    Show the answer

    Programs that improve automatically on a task. Machine learning studies programs that can improve their performance on a task automatically.

  3. What is unsupervised learning?
    • Copying answers from a key
    • Watching a teacher
    • Finding patterns without labeled answers
    Show the answer

    Finding patterns without labeled answers. Unsupervised learning finds patterns and makes predictions without other guidance.

  4. What is deep learning?
    • Machine learning using many neural network layers
    • A way to dig tunnels
    • A type of computer mouse
    Show the answer

    Machine learning using many neural network layers. Deep learning uses several layers of neurons to progressively extract higher-level features.

  5. What is affective computing about?
    • Fixing computer fans
    • Recognizing or simulating human emotion
    • Building stronger bridges
    Show the answer

    Recognizing or simulating human emotion. Affective computing recognizes, interprets, processes, or simulates human feeling and mood.

Now make it stick

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