Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Optimization
bayesian-optimization
A probabilistic model-based optimization technique for finding the minimum of a function.
Optimization
Gradient Descent
An optimization algorithm used to minimize the loss function in machine learning.
Model Training
grid-search
A method for hyperparameter optimization that exhaustively searches through a specified subset of hyperparameters.
Model Training
hyperparameter-optimization
The process of tuning the parameters that control the learning process of a model.
Optimization
meta-heuristics
A class of optimization algorithms that use iterative processes to find solutions.
Safety
preference optimization
preference optimization is a core generative-AI concept used across modeling, product, and governance discussions.
Training
RLHF
RLHF aligns a model to human preferences using a reward model and reinforcement-style optimization.