AI Glossary: What means what?

Term	Definition
Algorithm	A set of rules for computers to perform tasks, spot patterns, and make predictions.
Alignment	Ensuring AI’s goals align with human values to prevent harmful outputs.
Artificial General Intelligence (AGI)	AI capable of performing any human task and learning autonomously.
Artificial Intelligence (AI)	Machines performing tasks that require human intelligence.
Big Data	Large datasets analyzed to find patterns and trends.
Chatbot	Software mimicking human conversation, used in customer service and writing tasks.
Compute	Computational power needed for AI tasks, measured in FLOPS.
Computer Vision	Extracting information from images and videos using AI.
Data Science	Processing data to find patterns and insights.
Deep Learning (DL)	Advanced machine learning using neural networks.
Generative AI	AI generating media (Text, image, or video) by learning from data patterns.
Large Language Model (LLM)	Algorithms+Models handling text tasks like summarization and generation.
Machine Learning (ML)	AI programs learning from new data without explicit programming.
Natural Language Processing (NLP)	AI analyzing human language (For generation tasks, we call it Natural Language Generation NLG)
Supervised Learning	Training ML models with labeled data.
Unsupervised Learning	Training ML models with unlabeled data.
Turing Test	A measure of a machine’s ability to exhibit human-like intelligence.
Model Training	Teaching an AI model to perform tasks by exposing it to existing data to learn.
Model Inference	Using a trained AI model to make predictions on new data.