Temporal normalization - Temporal normalization is the natural-language processing task of converting expressions about time into a structured temporal representation.
Temporal-projection - Temporal-projection is the reasoning task of determining what will hold after specified actions or events, given an initial description and a model of change.
Temporal redundancy - Temporal redundancy is repeated or predictable information across observations taken at different times.
Tensor Parallelism - Tensor parallelism distributes parts of individual model tensors and their associated computations across multiple devices.
Tensor product network - A tensor product network is a connectionist model that uses tensor products to represent bindings between roles and their fillers.
Tensor size - Tensor size, in the Google/TensorFlow glossary sense, is the total number of scalar elements in a tensor.
Tensor sketch - Tensor sketch is a randomized technique for representing a large tensor-product feature map with a much smaller vector.
Term - In first-order logic, a term is an expression that denotes an object in the domain under an interpretation and, when variables occur, a variable assignment.
Term-at-a-time - Term-at-a-time is a query-scoring strategy that processes one query term's postings before moving to another query term.
Term-document matrix - A term-document matrix represents a collection of documents using numerical associations between terms and documents.
Term partitioning - Term partitioning distributes an inverted index across machines by assigning different vocabulary terms to different partitions.
Term weight - A term weight is a numerical value assigned to a term in a text representation or retrieval model to control its contribution to a score.
Terminal states - Terminal states are states at which a modeled game, task, or episode has ended according to its rules.
Terminal symbol - A terminal symbol is a symbol that appears in the completed strings generated by a formal grammar.
Terminal test - A terminal test is a procedure that decides whether a state is a genuine ending of a modeled game, task, or episode.
Termination condition - A termination condition is a rule that determines when a process stops.
Terminology model - A terminology model is a structured description of the concepts used in a subject area, their meanings, characteristics and relationships.
Ternary search - Ternary search is an interval-reduction method for finding the minimum or maximum of a one-dimensional unimodal function.
Ternary search tree - A ternary search tree is a data structure for storing and finding strings one character at a time.
Test and Evaluation, Verification and Validation - Test and Evaluation, Verification and Validation, commonly abbreviated TEVV, is a collection of activities that builds evidence about an AI system's...
Test data management - Test data management is the practice of preparing, supplying, maintaining and controlling the data used to test software.
Test loss - Test loss is the value of a chosen loss function on a dataset reserved for evaluating a trained and selected model.
Test set - A test set is a collection of examples reserved for assessing a model after its development choices have been made.
Test statistic - A test statistic is a numerical summary of data used to evaluate a statistical hypothesis.
Test-time adaptation - Test-time adaptation is the adjustment of a trained model or its inference statistics using data encountered during deployment or evaluation.
Test-time compute - Test-time compute is the computational work used when a trained model processes an input and produces a result.
Testing hypotheses suggested by the data - Testing hypotheses suggested by the data means evaluating claims that were formulated or selected after examining the same observations.
Tetrachoric correlation - Tetrachoric correlation estimates the correlation between two hypothetical continuous variables from two observed binary variables, assuming the continuous...
Text classification - Text classification assigns one or more categories to a piece of text.
Text corpus - A text corpus is an organized collection of texts assembled for a defined purpose, such as studying language, training a model or evaluating a...
Text graph - A text graph is a graph representation built from language material.
Text mining - Text mining is the computational analysis of text collections to identify useful patterns, relationships or information.
Text nailing - Text Nailing is a named information-extraction method associated with Uri Kartoun and colleagues.
Text simplification - Text simplification is the rewriting of text to make it easier for an intended audience to read and understand while preserving the required meaning.
Text span - A text span is a specific continuous portion of text identified by its start and end positions.
Text-to-image personalization - Text-to-image personalization adapts image generation to a particular subject or concept, such as a specific toy, product or visual style.
Text-to-speech - Text-to-speech, often abbreviated TTS, is technology that converts written text into spoken audio.
Text-to-video model - A text-to-video model is a generative model that produces video conditioned on a written description.
Textual case-based reasoning - Textual case-based reasoning uses descriptions of previous situations, problems or experiences written in natural language to help address a new situation.
Textual entailment - Textual entailment is the relationship in which the meaning of one text supports an inference expressed by another text.
Texture - Texture is the visual pattern formed by variations in an image region, such as the grain of wood, a fabric weave, or a speckled surface.
Texture compression - Texture compression stores graphics texture data in a compact representation designed to support efficient sampling during rendering.
Texture synthesis - Texture synthesis creates new image content with the visual character of a texture, such as woven fabric, stone, or scattered leaves.
The Bitter Lesson - The Bitter Lesson is Richard Sutton's 2019 argument that broadly applicable methods able to use increasing computation, especially search and learning, have...
Theil index - The Theil index is an entropy-based measure of inequality in nonnegative quantities such as income or resource allocations.
Thematic grid - A thematic grid is a representation of the semantic participant roles associated with a verb or a particular verb sense.
Thematic role - A thematic role describes the semantic relationship between a participant and the event or situation expressed by a predicate.