Overview
Artificial intelligence algorithms processed locally on edge devices rather than in centralised cloud data centres.
Cross-References(1)
More in Artificial Intelligence
AI Transparency
Safety & GovernanceThe practice of making AI systems' operations, data usage, and decision processes openly visible to stakeholders.
Model Quantisation
Models & ArchitectureThe process of reducing the numerical precision of a model's weights and activations from floating-point to lower-bit representations, decreasing memory usage and inference latency.
Hyperparameter Tuning
Training & InferenceThe process of optimising the external configuration settings of a machine learning model that are not learned during training.
AI Red Teaming
Safety & GovernanceThe systematic adversarial testing of AI systems to identify vulnerabilities, failure modes, harmful outputs, and safety risks before deployment.
AI Safety
Safety & GovernanceThe interdisciplinary field dedicated to making AI systems safe, robust, and beneficial while minimizing risks of unintended consequences.
F1 Score
Evaluation & MetricsA harmonic mean of precision and recall, providing a single metric that balances both false positives and false negatives.
Confusion Matrix
Evaluation & MetricsA table used to evaluate classification model performance by comparing predicted classifications against actual classifications.
System Prompt
Prompting & InteractionAn initial instruction set provided to a language model that defines its persona, constraints, output format, and behavioural guidelines for a given session or application.