interface schema
An interface schema defines the valid structure, properties, and relationships of a machine-readable interface description.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 701–720 of 1130 terms
Clear filtersinternal signal monitoring
Internal signal monitoring studies activity inside an AI system to look for patterns associated with particular concepts, decisions, or behaviors.
internet-exposed system
An internet-exposed system is a device, application or service that can be reached directly or indirectly from the public internet.
investment return
Investment return measures the gain or loss from an investment relative to the capital used over a stated period.
iteration cost
Iteration cost is the time, money, computing, and human effort consumed by repeated attempts to improve an AI result.
job exposure
AI job exposure estimates how much of an occupation's tasks could be affected by current or emerging AI capabilities.
job task bundle
A job task bundle is the connected set of activities, decisions and responsibilities that together make up an occupation or role.
key-value cache-aware routing
Key-value cache-aware routing sends a model request to a worker that can reuse relevant cached attention state while also considering current load.
know your customer
Know your customer is a process for identifying customers and assessing identity or risk before and during a regulated relationship.
knowledge graph
A knowledge graph represents entities, concepts and facts as connected nodes and relationships that software can query and traverse.
language model logit
A language model logit is an unnormalized score assigned to a possible next token before those scores are converted into probabilities.
language model sampling distribution
A language model sampling distribution assigns a probability to each possible next token after model scores and decoding controls are applied.
language model token entropy
Language model token entropy measures uncertainty in the probability distribution over possible next tokens.
language model watermark paraphrase attack
A language model watermark paraphrase attack rewrites watermarked text to preserve meaning while weakening the original keyed token pattern.
language model watermarking
Language model watermarking modifies token selection so generated text contains a hidden statistical pattern that an authorized detector can test for later.
language-mediated multi-robot coordination
Language-mediated multi-robot coordination uses structured or natural-language messages to organize responsibilities and handoffs among robots.
large language model judge calibration
Large language model judge calibration adjusts and validates a model-based evaluator against trusted human-reviewed examples so its scores reflect the intended quality standard.
large language model text file
A large language model text file is a concise website file, commonly named llms.txt, that points AI systems to authoritative descriptions and documentation for the site or project.
latency-aware AI model routing
Latency-aware AI model routing chooses models using response-time requirements and current or expected service speed.
latent representation
A latent representation is an internal numerical encoding an AI model uses to represent and process information.