The Ad Agency AI Dictionary

Common AI terms beginning with T, defined for advertising professionals.

T

Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “T”.

21 Terms in section T Updated May 2026

Target Variable

In supervised learning, the variable that the model aims to predict.

Temperature

A parameter in softmax or language models that controls how deterministic or random predictions are.

Temporal Data

Data indexed over time, such as sales by day or engagement by hour, requiring models that capture sequence patterns.

Tensor

A multi‑dimensional array of numbers used to represent data in machine learning.

TensorFlow

An open‑source framework for building and training machine‑learning models.

Test Set

A portion of data reserved for evaluating model performance after training.

Text Mining

Extracting useful information and patterns from text data.

Threshold

A cut‑off value used to decide classification outcomes or filter data.

Time Series

A sequence of data points recorded over time; forecasting models predict future values.

Token

A basic unit of text (word or subword) used by natural language models.

Tokenization

The process of splitting text into tokens for processing by language models.

Topic Modeling

Algorithms that discover the main themes in a collection of documents, such as customer reviews.

Training Data

The portion of data used to train a model; it must be representative of the problem space.

Transfer Learning

Leveraging a model trained on one task as the starting point for a related task to reduce training time and data needs.

Transformer

A neural architecture based on self‑attention that has revolutionized natural language processing and, increasingly, vision.

Translation

Converting text from one language to another using AI; critical for global marketing.

Tree Ensemble

A group of decision trees whose predictions are combined to improve accuracy, such as random forests and gradient boosting.

True Positive

A correctly identified positive instance in classification.

True Negative

A correctly identified negative instance in classification.

Tuning

The process of adjusting a model’s hyperparameters to achieve better performance.

Two‑Stream Network

A neural architecture that processes two separate streams of input, often used in video analysis.

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