AI Glossary & Dictionary for “H”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “H”:
Hallucination: When generative AI models produce information that is plausible sounding but untrue or fabricated, posing reputational risks.
Hardware Acceleration: The use of specialised hardware (e.g., GPUs, FPGAs) to speed up AI computations.
Hashing: Transforming input data into fixed‑size values, often used in indexing and anonymisation.
Heuristic Function: A function that estimates the cost of reaching a goal, guiding search algorithms.
Hidden Layer: A layer of neurons in a neural network that lies between the input and output layers and learns complex representations.
Hidden Markov Model: A statistical model where the system being modelled is assumed to follow a Markov process with hidden states.
Hierarchical Clustering: A method of cluster analysis that builds a hierarchy of clusters, useful for segmenting audiences at different granularity.
High‑Dimensional Data: Data with many variables; marketing data sets with numerous customer attributes are often high dimensional.
Hot Start: Initializing a model or algorithm with good starting parameters to accelerate convergence.
Human‑in‑the‑Loop: Combining human judgement with AI outputs to refine and oversee automated decisions, essential for sensitive marketing contexts.
Hybrid Model: A system that combines machine‑learning algorithms with rule‑based logic or human inputs to achieve better performance.
Hyperparameter: A configuration parameter that influences how a model is trained but is not learned from data, such as learning rate or number of layers.
Hyperparameter Optimization: The process of searching for the best hyperparameters for a model to maximize performance.
Hyperplane: In classification, the decision boundary that separates different classes in the feature space.
This concludes the AI Glossary & Dictionary for “H”.