test-driven development
Test-driven development is a software workflow in which a failing test is written before implementation, then code is added and refactored until the test passes.
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Clear filtersTest-driven development is a software workflow in which a failing test is written before implementation, then code is added and refactored until the test passes.
Test-time adaptation changes how a model behaves or learns while it is being evaluated or used, allowing it to adjust to the current task or data.
Tiered AI model routing assigns requests to capability and cost tiers, using different models for routine and difficult work.
Time to first token is the delay between sending a model request and receiving the first generated output token.
AI token accounting records the input, output and related token usage associated with model requests.
A tokenizer converts text or other model input into token identifiers that an AI model can process.
Tournament sampling draws several candidates from a probability distribution and selects a winner through repeated pairwise decisions.
An AI trading bot uses AI-assisted analysis or decision logic to generate and execute trades under defined rules and controls.
Transcript summarization uses a person or AI system to condense spoken-content text into its most useful arguments, decisions, actions or sections.
A transferable compute capacity contract reserves computing resources while allowing the holder to assign or resell some contractual rights under defined conditions.
AI transparency makes an AI system's purpose, limits, evidence, operation and responsible parties understandable to the people who use or are affected by it.
A trusted kernel is the small core of a proof system that independently checks whether formal proof terms are valid under the system's logical rules.
A typed event is a named system event whose payload and meaning follow a defined schema or contract.
AI uncertainty quantification estimates and represents how uncertain a model is about predictions, hidden quantities, data, or possible outcomes.
The Universal Commerce Protocol is an open commerce standard that lets agents and merchant systems exchange structured shopping and checkout information.
An unsaturated AI benchmark is an evaluation where current leading systems remain meaningfully below the maximum or solved performance level.
Unstructured data embedding represents text or other unstructured information as numerical vectors so relevant material can be retrieved by meaning.
Untrusted input validation checks externally supplied data against strict structural and semantic rules before a system uses it.
AI usage metering records how much model or agent capacity a customer, application or task consumes.
Usage-based billing charges a customer according to measured consumption instead of only a fixed subscription amount.
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