AI Basics 101
This term refers to AI systems that learn patterns from data instead of being explicitly programmed.
Machine Learning.
The AI robot companion in Star Wars known for fluent communication.
C-3PO.
This acronym stands for the type of AI model behind tools like ChatGPT.
LLM (Large Language Model).
The input you give an AI model is called this.
Prompt.
Using AI-generated audio or video to impersonate real people creates this risk.
This term describes how confident an AI is in its predictions, often shown as a percentage.
Probability (or confidence score).
This fictional AI from 2001: A Space Odyssey said, “I’m sorry, Dave.”
HAL 9000.
This refers to the smallest chunks of text an AI model processes.
Tokens.
This happens when an AI confidently makes up incorrect information.
Training AI on copyrighted material without permission raises this concern.
Intellectual Property.
This is the mathematical structure inspired by the human brain that powers many AI models.
Neural Network.
IBM’s AI that famously defeated a world chess champion in 1997.
This parameter controls how creative or random an AI’s responses are.
Temperature.
Telling an AI to “act as a project manager” is an example of this technique.
Role Prompting.
Laws and policies designed to control AI use are called this.
Regulation.
The process of adjusting a model’s internal values to reduce errors is known as this.
Model Training.
This AI domain famously beat the world champion at the game Go.
This term describes numerical representations of words or concepts that capture meaning.
Asking AI to improve or refine its own answer is known as this.
Iteration.
AI systems may reflect unfair preferences present in their training data—this is called this.
Bias.
This refers to the ability of an AI model to understand and generate human language.
Natural Language Processing (NLP).
Google’s early conversational AI demo that made a realistic phone call.
Google Duplex.
This phrase describes giving AI access to external documents or company data for better answers.
Retrieval‑Augmented Generation (RAG).
The single best skill for prompting AI effectively.
Clear Communication.
This principle ensures AI decisions can be understood by humans.
Explainability.