Demystifying AI: Key Terms to Know

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

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.

Still curious about AI? Dive deeper into each term on ChatGPT and join the evolving conversation around this transformative technology.