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Artificial Intelligence - The Basics

What does the acronym LLM stand for, what do we call the made-up errors a model produces, and what kind of chip trains neural networks? From ChatGPT to conversational assistants, a tour of the basics of Artificial Intelligence, its tools and the companies fighting over the sector.

20

Questions

3

Minutes

Tip: Use keys 1-4 to answer quickly

The 20 quiz questions

Question 1 : Which company created ChatGPT?

Possible answers:

  • Microsoft
  • Google
  • OpenAI
  • Meta

Explanation: OpenAI, founded in 2015 by Elon Musk, Sam Altman, and others, launched ChatGPT in November 2022. It reached 100 million users in just 2 months!

Question 2 : What does "AI" stand for?

Possible answers:

  • Artificial Intelligence
  • Applied Engineering
  • Advanced Information
  • Automatic Interface

Explanation: Artificial Intelligence refers to computer systems capable of simulating human cognitive processes.

Question 3 : What is an AI that can generate images from text called?

Possible answers:

  • Analytical AI
  • Predictive AI
  • Cognitive AI
  • Generative AI

Explanation: Generative AI creates new content (images, text, music) from prompts, like DALL-E, Midjourney, or Stable Diffusion.

Question 4 : What is the name of Google's AI assistant?

Possible answers:

  • Cortana
  • Siri
  • Alexa
  • Gemini

Explanation: Google rebranded its AI Bard as Gemini in February 2024, unifying its language models under this brand.

Question 5 : What does "Machine Learning" mean?

Possible answers:

  • Advanced programming
  • Machine learning
  • Intelligent machine
  • Artificial computing

Explanation: Machine Learning allows computers to learn from data without being explicitly programmed.

Question 6 : What is a "chatbot"?

Possible answers:

  • A computer virus
  • A video game
  • A search engine
  • A conversational robot

Explanation: A chatbot is a computer program capable of conversing with humans, using AI to understand and respond to messages.

Question 7 : What term refers to neural networks with multiple layers?

Possible answers:

  • Fast Learning
  • Smart Learning
  • Wide Learning
  • Deep Learning

Explanation: Deep Learning uses neural networks with many layers to process complex data.

Question 8 : In what year did IBM's Deep Blue program beat chess champion Kasparov?

Possible answers:

  • 1997
  • 2005
  • 2010
  • 2016

Explanation: In 1997, Deep Blue became the first computer to beat a world chess champion under official conditions. It was a historic moment for AI.

Question 9 : Which AI tool can generate images from a text description?

Possible answers:

  • Canva Magic
  • Photoshop AI
  • ImageBot
  • DALL-E

Explanation: DALL-E, Midjourney, and Stable Diffusion are generative AIs capable of creating realistic or artistic images from text prompts. DALL-E was created by OpenAI.

Question 10 : Which company develops the AI Claude?

Possible answers:

  • Anthropic
  • OpenAI
  • Apple
  • Google

Explanation: Claude is developed by Anthropic, an American company founded in 2021 by former OpenAI members, with a particular focus on AI safety and ethics.

Question 11 : What do you call the text given to an AI to generate a response?

Possible answers:

  • Command
  • Prompt
  • Input
  • Query

Explanation: A prompt is the instruction or query given to a generative AI to obtain the desired result.

Question 12 : What type of AI specializes in processing human language?

Possible answers:

  • Computer Vision
  • Data Mining
  • NLP (Natural Language Processing)
  • Robotics

Explanation: NLP (Natural Language Processing) enables machines to understand, interpret, and generate human language.

Question 13 : Which test measures if an AI can imitate human intelligence?

Possible answers:

  • Turing Test
  • CAPTCHA Test
  • Lovelace Test
  • Voight-Kampff Test

Explanation: The Turing test, proposed by Alan Turing in 1950, evaluates whether a machine can be indistinguishable from a human in conversation. It's a historic milestone in AI.

Question 14 : What term describes errors or false information generated by an AI?

Possible answers:

  • Crashes
  • Hallucinations
  • Bugs
  • Glitches

Explanation: Hallucinations are incorrect or fabricated responses that language models generate with confidence.

Question 15 : What AI model is the foundation of ChatGPT?

Possible answers:

  • GPT
  • LaMDA
  • RNN
  • BERT

Explanation: GPT (Generative Pre-trained Transformer) is the language model architecture developed by OpenAI.

Question 16 : What processor is essential for training AI models?

Possible answers:

  • SSD
  • CPU
  • GPU
  • RAM

Explanation: GPUs (Graphics Processing Units) are essential for AI because they can perform millions of calculations in parallel.

Question 17 : Which company manufactures the most used chips for AI?

Possible answers:

  • Intel
  • AMD
  • NVIDIA
  • Qualcomm

Explanation: NVIDIA dominates the GPU market for AI with its H100 and A100 chips, essential for training large models.

Question 18 : Which Google DeepMind AI defeated the world Go champion in 2016?

Possible answers:

  • AlphaGo
  • Watson
  • Deep Blue
  • Siri

Explanation: AlphaGo defeated Lee Sedol 4 games to 1. The game of Go was considered too complex for machines due to the astronomical number of possible combinations.

Question 19 : What does the acronym LLM stand for in artificial intelligence?

Possible answers:

  • Large Language Model
  • Linear Logic Machine
  • Local Learning Method
  • Layered Memory Loop

Explanation: A Large Language Model is a neural network trained on vast amounts of text. GPT, Claude, and Gemini are LLMs.

Question 20 : What are the unintentional prejudices reproduced by an AI from its training data called?

Possible answers:

  • Algorithmic biases
  • Software bugs
  • Overfittings
  • Data corruption

Explanation: Algorithmic biases occur when training data reflects existing prejudices. This is a major issue in AI ethics.

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