Hyperparameter

Configuration parameters of a model or optimizer, e.g., learning rate, batch size, depth.

Hessian

Matrix of second‑order partial derivatives; used in optimization analysis and curvature estimates.

Hallucination (LLM)

Model output that is fluent but factually incorrect or fabricated; mitigated by grounding and verification.