AI Glossary

Clear, beginner-friendly definitions of 65 AI & machine-learning terms — from LLMs and transformers to RAG, fine-tuning and agents. Kept current by our agents.

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L

Label

In machine learning, a label is the known correct output or category assigned to a training data example that a model learns to predict.

Learning Rate

The learning rate is a hyperparameter that controls the size of the steps an optimization algorithm takes when updating a model's parameters during training.

Logistic Regression

Logistic Regression is a supervised machine learning algorithm used for binary classification that estimates the probability an input belongs to a particular class.

Long Short-Term Memory

Long Short-Term Memory (LSTM) is a type of recurrent neural network architecture designed to learn and retain information over long sequences of data.

Loss Function

A loss function quantifies how far a model's predictions are from the true values, serving as the objective that training tries to minimize.