routing policy
An AI routing policy defines how a system chooses, ranks and fails over between models for incoming requests.
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 921–940 of 1091 terms
Clear filtersAn AI routing policy defines how a system chooses, ranks and fails over between models for incoming requests.
An AI run budget cap is a hard spending or usage limit that stops an AI run from consuming more resources.
A safety case is a structured argument, supported by evidence, that an AI system is acceptably safe for a defined use and operating environment.
AI safety coordination aligns standards and actions across organizations so competitive pressure does not undermine necessary safeguards.
Sample efficiency measures how much useful learning an AI system achieves from a given number of training examples or experiences.
Sample size is the number of observations used in an analysis, which affects how precisely the evidence can distinguish a real pattern from random variation.
A satisfiability modulo theories solver determines whether logical constraints are simultaneously satisfiable while reasoning about theories such as arithmetic, arrays and bit vectors.
A scalable cyberattack can be repeated or automated across many targets with relatively little additional effort for each new target.
AI scenario forecasting describes a coherent possible path for future AI capabilities, infrastructure, economics, deployment, and societal effects.
A scheduled agent task is an AI workflow configured to begin automatically at a chosen time or repeating interval.
A scheduled AI agent routine is a recurring agent workflow triggered automatically at specified times or intervals.
A scheduled AI deliverable is a document, report or other artifact generated automatically at a defined time or interval.
A screening hit rate is the proportion of tested candidates that meet a predefined activity or performance threshold in a screening experiment.
Secret-key language model watermark detection uses a protected key to reconstruct the token-selection rule and test whether text follows its hidden pattern.
AI security scanning uses AI to inspect software, configurations or activity for vulnerabilities and suspicious patterns.
A seed round is an early funding round that gives a young company capital to build its team, product and initial evidence of demand.
A self-extending AI agent can create or install new bounded capabilities, modes, or integrations in response to a task.
Semantic code grouping organizes changed files by their functional meaning or architectural role rather than only by path or edit order.
A semantic layer gives AI systems and people a shared, governed meaning for business data such as metrics, dimensions, and relationships.
Semantic memory stores generalized facts, concepts, and relationships that an AI agent can use across tasks.