Overview
A form of logic that handles approximate reasoning, allowing variables to have degrees of truth rather than strict binary true/false values.
More in Artificial Intelligence
Frame Problem
Foundations & TheoryThe challenge in AI of representing the effects of actions without having to explicitly state everything that remains unchanged.
Connectionism
Foundations & TheoryAn approach to AI modelling cognitive processes using artificial neural networks inspired by biological neural structures.
BLEU Score
Evaluation & MetricsA metric for evaluating the quality of machine-generated text by comparing it to reference translations or texts.
Model Merging
Training & InferenceTechniques for combining the weights and capabilities of multiple fine-tuned models into a single model without additional training, creating versatile multi-capability systems.
AI Safety
Safety & GovernanceThe interdisciplinary field dedicated to making AI systems safe, robust, and beneficial while minimizing risks of unintended consequences.
Knowledge Representation
Foundations & TheoryThe field of AI dedicated to representing information about the world in a form that computer systems can use for reasoning.
Inference Engine
Infrastructure & OperationsThe component of an AI system that applies logical rules to a knowledge base to derive new information or make decisions.
Artificial Narrow Intelligence
Foundations & TheoryAI systems designed and trained for a specific task or narrow range of tasks, such as image recognition or language translation.