Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
2,337 definitions
Brouillon de traduction automatique (French) for "Alignment Memory Scope": Alignment Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for model behavior shaping and policy fit. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Memory Scope when the assistant needed a safer answer style, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Safety Filter": Alignment Safety Filter is a ai policy control that detects content that should be blocked, rewritten, or escalated for model behavior shaping and policy fit. It uses classifiers, rules, and human review queues so teams can keep outputs public-safe while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Safety Filter when the assistant needed a safer answer style, so the team could keep outputs public-safe before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Grounding Check": Alignment Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for model behavior shaping and policy fit. It uses citation checks, retrieval evidence, and contradiction detection so teams can reduce unsupported claims while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Grounding Check when the assistant needed a safer answer style, so the team could reduce unsupported claims before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Model Router": Alignment Model Router is a ai selection service that chooses the best model or provider for a task for model behavior shaping and policy fit. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Model Router when the assistant needed a safer answer style, so the team could match work to the right model before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Tool Permission": Alignment Tool Permission is a ai access control that decides which tools an AI workflow may call for model behavior shaping and policy fit. It uses operation allowlists, user intent checks, and protected-action gates so teams can block unsafe automation while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Tool Permission when the assistant needed a safer answer style, so the team could block unsafe automation before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Context Contract": Alignment Context Contract is a ai interface contract that defines what context may be passed into a model call for model behavior shaping and policy fit. It uses schemas, redaction rules, source labels, and token budgets so teams can keep model inputs relevant and safe while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Context Contract when the assistant needed a safer answer style, so the team could keep model inputs relevant and safe before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Alignment Instruction Boundary": Alignment Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for model behavior shaping and policy fit. It uses role labels, precedence rules, and prompt assembly checks so teams can avoid instruction confusion while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Alignment Instruction Boundary when the assistant needed a safer answer style, so the team could avoid instruction confusion before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Guardrail Citation Builder": Guardrail Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for policy controls around model input and output. It uses canonical URLs, source titles, and quote limits so teams can make generated answers citeable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Guardrail Citation Builder when the model tried to include private context, so the team could make generated answers citeable before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Guardrail Human Approval": Guardrail Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for policy controls around model input and output. It uses risk scoring, review UI, and audit logs so teams can keep protected decisions accountable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Guardrail Human Approval when the model tried to include private context, so the team could keep protected decisions accountable before the agent workflow reached production.”
Brouillon de traduction automatique (French) for "Guardrail Response Schema": Guardrail Response Schema is a ai output contract that requires model output to match a known structure for policy controls around model input and output. It uses JSON schemas, validators, retries, and error reporting so teams can make responses machine-readable while keeping evidence, reliability, and public-safe operational boundaries clear.
“Exemple en brouillon: The AI platform team used Guardrail Response Schema when the model tried to include private context, so the team could make responses machine-readable before the agent workflow reached production.”