AI glossary

A living **glossary** of terms used across ANN Learn / AI LEARNING CENTER. Start here when a chapter word feels slippery.

What it is

A living glossary of terms used across ANN Learn / AI LEARNING CENTER. Start here when a chapter word feels slippery.

Shared definitions reduce talking past each other—especially General vs Technical tabs.

Term	Plain meaning	See also
Model	A learned function that maps inputs to outputs	Course 01
Training	Updating parameters using data	Course 03/05
Inference	Running a trained model to get outputs	Course 24
Token	A chunk of text the model reads/writes	Course 07
Embedding	Vector representation of meaning/items	Course 07/09
Prompt	Instructions/input to a generative model	Course 08
Hallucination	Fluent but wrong content presented as fact	Course 08
RAG	Retrieve documents, then generate with them	Course 09
Agent	System that plans and uses tools toward goals	Course 10
Overfitting	Memorizing train data; failing to generalize	Course 03
Gradient	Direction of steepest increase of a function (loss)	Course 04/05
Alignment	Making systems behave per human aims/constraints	Course 19
Benchmark	Shared test used for comparison	Course 18

Pick three terms you used this week loosely. Rewrite each in one precise sentence.

⚠️ Myth: Glossaries replace learning.: ✓ Reality: They unlock chapters; they don’t finish them.