anonymous AI model release
An anonymous AI model release makes a model available for testing without clearly disclosing who created or operates it.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 121–140 of 1136 terms
Clear filtersautonomous software factory
An autonomous software factory is a repeatable development system that coordinates agents, tools, checks and human review to turn specifications into verified software changes.
browser automation
Browser automation uses software to carry out repeatable actions in a web browser, such as opening pages, entering information, and collecting results.
cloud AI agent
A cloud AI agent runs in remote managed infrastructure so it can access scalable compute, remain available, and execute several tools or tasks concurrently.
cloud computer
A cloud computer is a remotely hosted computing environment that provides applications, files, networking, and execution without running directly on the user's device.
continual learning
Continual learning lets an AI system acquire new knowledge or skills over time while retaining what it learned earlier.
intelligent document processing
IDPIntelligent document processing uses AI to classify, extract and validate information from documents for downstream workflows.
knowledge-work automation
Knowledge-work automation uses AI and software to reduce repetitive effort in research, analysis, communication, documents, and administrative tasks.
language model
LMA language model learns patterns in sequences so it can interpret context and generate likely continuations such as text, code or structured responses.
model containment
Model containment limits the systems, data, tools, and real-world effects an AI model can reach during testing or use.
parallel AI agent execution
Parallel AI agent execution runs multiple agent tasks or candidate approaches concurrently instead of waiting for each to finish in sequence.
real-world AI evaluation
Real-world AI evaluation measures model or agent behavior in genuine deployment conditions where actions encounter actual users, systems, constraints, and consequences.
research workflow automation
Research workflow automation coordinates AI-assisted scoping, evidence gathering, drafting, verification, and reporting as a repeatable process.
trajectory evaluation
AI trajectory evaluation assesses the sequence of reasoning-relevant states, tool calls, decisions, and side effects that led to an agent's final result.
workflow-specific AI evaluation
Workflow-specific AI evaluation tests systems using the tasks, tools, constraints, and outcomes of a real working process.
active AI model parameter
An active AI model parameter is a model weight selected to participate in computation for a particular token or inference step.
agent autonomy
Agent autonomy is the degree to which an AI agent can choose and execute actions without immediate human direction.
agent plugin
An agent plugin extends an AI agent with packaged tools, integrations, skills, or interfaces that are not part of the agent's base capability.
agent role boundary
An agent role boundary defines the specific responsibility, tools and decisions assigned to an AI agent.
agent self-correction
Agent self-correction is an AI agent's ability to detect a problem in its work and revise its actions without restarting the entire task.