AI Glossary
A comprehensive encyclopedia of artificial intelligence and context management terminology — with definitions, in-depth articles, and authoritative sources.
Fine-Tuning
Also known as: Model Fine-Tuning, Transfer Learning, Domain Adaptation
The process of further training a pre-trained AI model on a specialized dataset to adapt its behavior, knowledge, or output style for a specific domain or task.
Reinforcement Learning from Human Feedback
Also known as: RLHF, Human Feedback Training
A training technique that uses human evaluations of AI outputs to train a reward model, which then guides the AI system to produce outputs more aligned with human preferences.
Supervised Learning
Also known as: Supervised ML
A machine learning paradigm where models are trained on labeled datasets containing input-output pairs, learning to map inputs to correct outputs for prediction and classification tasks.
Training Data
Also known as: Training Dataset, Training Corpus, Training Set
The curated dataset used to train machine learning models, whose quality, diversity, size, and representativeness directly determine the model's capabilities and limitations.
4 terms under "Model Training"