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.
5,641 definitions
Memory Checkpoint Restore is a compute recovery workflow that resumes work from a saved state for volatile runtime storage. It uses snapshots, state files, and integrity checks so teams can recover long-running work while keeping evidence, reliability, and public-safe operational boundaries clear.
Memory Citation Builder is a ai attribution helper that formats source links and evidence for an AI answer for persistent or session-level AI state. 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.
Memory Cold Start Budget is a compute latency target that limits startup delay for newly scheduled execution for volatile runtime storage. It uses prewarming, smaller packages, and runtime tuning so teams can keep first requests responsive while keeping evidence, reliability, and public-safe operational boundaries clear.
Memory Context Contract is a ai interface contract that defines what context may be passed into a model call for persistent or session-level AI state. 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.
Memory Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for persistent or session-level AI state. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.
Memory Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for persistent or session-level AI state. 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.
Memory Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for persistent or session-level AI state. 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.
Memory Image Hardening is a compute security practice that reduces risk inside packaged runtime images for volatile runtime storage. It uses minimal bases, patching, and vulnerability checks so teams can ship safer workloads while keeping evidence, reliability, and public-safe operational boundaries clear.
Memory Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for persistent or session-level AI state. 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.
Memory Isolation Boundary is a compute security boundary that separates workloads so one cannot affect another unexpectedly for volatile runtime storage. It uses namespaces, sandboxes, and access controls so teams can reduce cross-workload risk while keeping evidence, reliability, and public-safe operational boundaries clear.