Temperature sampling - Temperature sampling is a decoding method that draws a model's next token from a probability distribution adjusted by a temperature value.
Temperature Scaling - Temperature scaling is a method for adjusting a classifier's probability estimates by dividing its logits by a learned positive number before applying softmax.
Template - In information extraction, a template is a structured specification of the information a system should capture about an entity, event, or relationship.
Template filling - Template filling is an information-extraction task that converts descriptions of recurring situations or events into structured records with predefined fields.
Template matching - Template matching searches for image regions that resemble a supplied example patch, called a template.
Template recognition - In information extraction, template recognition is the task of deciding whether a piece of text describes an instance of a situation or event type...
Temporal adverb - A temporal adverb is an adverb that contributes information about time, such as “yesterday,” “soon,” or “recently.
Temporal aliasing - Temporal aliasing occurs when changes over time are sampled in a way that makes different underlying motions or fluctuations appear indistinguishable.
Temporal anchor - A temporal anchor is a reference time used to interpret a time expression or locate an event.
Temporal annotation - Temporal annotation is the addition of structured labels describing time-related information in language.
Temporal Bias - Temporal bias is bias arising from differences in populations or behavior across time.
Temporal data - Temporal data is data associated with different points or periods in time.
Temporal-difference - Temporal-difference, usually abbreviated TD, refers to a learning approach that updates a prediction using newly observed information and a later prediction.
Temporal-difference error - A temporal-difference error, often shortened to TD error and written delta, is the difference between a bootstrapped learning target and the current value...
Temporal-difference learning with gradient correction - Temporal-difference learning with gradient correction, usually called TDC, is a linear value-prediction algorithm that adds an auxiliary correction to the...
Temporal expressions - Temporal expressions are words, numbers or phrases that refer to time.
Temporal logic - Temporal logic is a family of formal languages for expressing how statements hold across time or sequences of states.
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...