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
Model Grounding Check is a ai quality control that verifies that generated answers are backed by available sources for foundation model behavior and serving. 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.
Model Human Approval is a ai control step that requires a person to approve sensitive or high-impact actions for foundation model behavior and serving. 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.
Model Instruction Boundary is a ai policy boundary that separates durable system instructions from user-provided content for foundation model behavior and serving. 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.
Model Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for foundation model behavior and serving. 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.
Model Model Router is a ai selection service that chooses the best model or provider for a task for foundation model behavior and serving. 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.
Model Response Schema is a ai output contract that requires model output to match a known structure for foundation model behavior and serving. 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.
The Model Routing Capability is a declared agent feature used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
The Model Routing Prompt is a instruction template used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
The Model Routing Resource is a readable MCP resource used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.
The Model Routing Run is a execution instance used by AI agents and MCP clients when working with PlatPhorm News. It provides structured context so an agent can discover tools, inspect article listings, read resources, or perform safe platform actions.