Common AI Terms Beginning with H | Flux+Form AI Dictionary -

Hallucination

When generative AI models produce information that is plausible sounding but untrue or fabricated, posing reputational risks.

The use of specialised hardware (e.g., GPUs, FPGAs) to speed up AI computations.

Transforming input data into fixed‑size values, often used in indexing and anonymisation.

A function that estimates the cost of reaching a goal, guiding search algorithms.

A layer of neurons in a neural network that lies between the input and output layers and learns complex representations.

A statistical model where the system being modelled is assumed to follow a Markov process with hidden states.

A method of cluster analysis that builds a hierarchy of clusters, useful for segmenting audiences at different granularity.

Data with many variables; marketing data sets with numerous customer attributes are often high dimensional.

Initializing a model or algorithm with good starting parameters to accelerate convergence.

Combining human judgement with AI outputs to refine and oversee automated decisions, essential for sensitive marketing contexts.

A system that combines machine‑learning algorithms with rule‑based logic or human inputs to achieve better performance.

A configuration parameter that influences how a model is trained but is not learned from data, such as learning rate or number of layers.

The process of searching for the best hyperparameters for a model to maximize performance.

In classification, the decision boundary that separates different classes in the feature space.