Overview
The ability of AI models to perform tasks they were not explicitly trained on, using generalised knowledge and instruction-following capabilities.
More in Artificial Intelligence
Tensor Processing Unit
Models & ArchitectureGoogle's custom-designed application-specific integrated circuit for accelerating machine learning workloads.
Cognitive Computing
Foundations & TheoryComputing systems that simulate human thought processes using self-learning algorithms, data mining, pattern recognition, and natural language processing.
AI Hallucination
Safety & GovernanceWhen an AI model generates plausible-sounding but factually incorrect or fabricated information with high confidence.
Turing Test
Foundations & TheoryA measure of machine intelligence proposed by Alan Turing, where a machine is deemed intelligent if it can exhibit conversation indistinguishable from a human.
Inference Engine
Infrastructure & OperationsThe component of an AI system that applies logical rules to a knowledge base to derive new information or make decisions.
Constraint Satisfaction
Reasoning & PlanningA computational approach where problems are defined as a set of variables, domains, and constraints that must all be simultaneously satisfied.
Planning Algorithm
Reasoning & PlanningAn AI algorithm that generates a sequence of actions to achieve a specified goal from an initial state.
AI Interpretability
Safety & GovernanceThe degree to which humans can understand the internal mechanics and reasoning of an AI model's predictions and decisions.