Demystifying AI: Key Terms to Know

2 min readOct 19, 2023

Your Crash Course on the Revolutionizing World of Artificial Intelligence

1. Algorithms: The Backbone

Definition: Step-by-step procedures to perform a task.
Fun Fact: Not new! Used in Babylonian times; for instance, the ancient Euclidean algorithm.

2. Machine Learning: Smart Computers

Definition: Lets computers learn from data.
Example: Train a system with cat and dog photos. It then identifies cats and dogs by spotting patterns.

3. Natural Language Processing (NLP): Machines Talk Back

4. Neural Networks: Brainy Code

Definition: Mimics the brain’s neuron behavior, using artificial nodes for sending and receiving data.
In Action: Pinterest uses it to curate engaging content.

5. Deep Learning: Neural Networks, Leveled Up

Highlight: Employs many layers of artificial neurons.
Why it matters: Handles larger, more intricate problems than basic neural networks.

6. Large Language Models (LLMs): Data Maestros

Origin: Google’s “transformer” model in 2017.
Examples: OpenAI’s GPT, which can handle tasks like summarizing and translating vast amounts of text.

7. Generative AI: Content Creators

Definition: AI that generates content like text, images, and videos.
Spotlight: OpenAI’s ChatGPT and Dall-E. ChatGPT can converse, while Dall-E crafts realistic images.

8. Chatbots: Digital Conversationalists

Definition: Programs that chat in human language.
Showcase: ChatGPT can talk about various subjects and even craft Taylor Swift-style lyrics.

9. Hallucination: AI’s Slip-Ups

What happens? AI produces information not based in reality.
Not to be confused with Bias, which is when AI reflects pre-existing prejudices.

10. Artificial General Intelligence (AGI): The Ultimate Goal

Definition: Machines that think like humans.
Status: Still hypothetical, but companies like DeepMind are inching closer with programs like AlphaGo and MuZero.