Overview
The field of AI dedicated to representing information about the world in a form that computer systems can use for reasoning.
More in Artificial Intelligence
Hyperparameter Tuning
Training & InferenceThe process of optimising the external configuration settings of a machine learning model that are not learned during training.
Precision
Evaluation & MetricsThe ratio of true positive predictions to all positive predictions, measuring accuracy of positive classifications.
Neural Scaling Laws
Models & ArchitectureEmpirical relationships describing how AI model performance improves predictably with increases in model size, training data volume, and computational resources.
Heuristic Search
Reasoning & PlanningProblem-solving techniques that use practical rules of thumb to find satisfactory solutions when exhaustive search is impractical.
AI Transparency
Safety & GovernanceThe practice of making AI systems' operations, data usage, and decision processes openly visible to stakeholders.
AI Democratisation
Infrastructure & OperationsThe movement to make AI tools, knowledge, and resources accessible to non-experts and organisations of all sizes.
Neural Processing Unit
Models & ArchitectureA specialised processor designed to accelerate neural network computations in edge devices and mobile platforms.
Model Pruning
Models & ArchitectureThe process of removing redundant or less important parameters from a neural network to reduce its size and computational cost.