Quantisation

AI Benchmark

Standardised tests and datasets used to evaluate and compare the performance of AI models across specific tasks.

BLEU Score

A metric for evaluating the quality of machine-generated text by comparing it to reference translations or texts.

Perplexity

A measurement of how well a probability model predicts a sample, commonly used to evaluate language model performance.

F1 Score

A harmonic mean of precision and recall, providing a single metric that balances both false positives and false negatives.

Confusion Matrix

A table used to evaluate classification model performance by comparing predicted classifications against actual classifications.

ROC Curve

A graphical plot illustrating the diagnostic ability of a binary classifier as its discrimination threshold is varied.

AUC Score

Area Under the ROC Curve, a single metric summarising a classifier's ability to distinguish between classes.

Precision

The ratio of true positive predictions to all positive predictions, measuring accuracy of positive classifications.

Recall

The ratio of true positive predictions to all actual positive instances, measuring completeness of positive identification.

TinyML

Machine learning techniques optimised to run on microcontrollers and extremely resource-constrained embedded devices.

An automated technique for designing optimal neural network architectures using search algorithms.

A hypothetical form of AI that possesses the ability to understand, learn, and apply knowledge across any intellectual task a human can perform.

The ability to describe AI decision-making processes in human-understandable terms, enabling trust and regulatory compliance.

A theoretical level of AI that surpasses human cognitive abilities across all domains, including creativity and social intelligence.

The research field focused on ensuring AI systems act in accordance with human values, intentions, and ethical principles.

A form of logical inference that seeks the simplest and most likely explanation for a set of observations.

The principle of ensuring AI systems make equitable decisions without discriminating against any group based on protected attributes.

A form of logic that handles approximate reasoning, allowing variables to have degrees of truth rather than strict binary true/false values.

Neural Network

A computing system inspired by biological neural networks, consisting of interconnected nodes that process information in layers.