Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Machine Learning
fine-tuning
The process of adjusting a pre-trained model on a new, often smaller dataset to improve performance on a specific task.
Training
fine-tuning dataset
fine-tuning dataset is a core generative-AI concept used across modeling, product, and governance discussions.
Machine Learning
Hyperparameter Tuning
The process of optimizing the parameters that govern the training process of a machine learning model.
Model Training
hyperparameter-optimization
The process of tuning the parameters that control the learning process of a model.