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Technology — Artificial Intelligence Basics

Core concepts in AI and machine learning

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ai_curious_kc 15 terms Mar 13, 2026
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Terms 15

1
Artificial Intelligence
Simulation of human intelligence in machines programmed to think and learn
2
Machine Learning
Subset of AI; systems learn from data without being explicitly programmed
3
Deep Learning
ML using multi-layered neural networks to learn complex patterns
4
Large Language Model (LLM)
AI trained on massive text data to understand and generate language
5
Natural Language Processing
AI field enabling computers to understand and generate human language
6
Computer Vision
AI enabling machines to interpret and understand visual information
7
Training Data
Dataset used to teach a machine learning model
8
Bias in AI
Systematic errors in AI output stemming from flawed or unrepresentative training data
9
Generative AI
AI creating new content (text, images, audio) based on training data
10
Prompt Engineering
Crafting inputs to get optimal outputs from AI language models
11
Token
Basic unit of text processed by LLMs; roughly 3/4 of a word
12
Hallucination
When an AI model generates false information confidently
13
Turing Test
Test of AI intelligence: can a machine convincingly imitate a human?
14
Reinforcement Learning from Human Feedback (RLHF)
Training AI using human preferences to align with desired behavior
15
Transformer
Neural network architecture behind most modern LLMs; uses attention mechanism