Fine-tuning
Also called: Model Fine-Tuning
The process of further training a pretrained AI model on a task-specific or domain-specific dataset to improve its performance, behavior, or specialization for particular use cases.
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Related terms
An API that enables developers to create, manage, and deploy customized AI models by training a pretrained model on task-specific datasets.
Direct Preference OptimizationDPOA preference optimization technique that directly trains a language model to prefer chosen responses over rejected ones without requiring an explicit reward model.
Reinforcement Learning from Human FeedbackRLHFA machine learning alignment technique that optimizes model behavior based on preferences gathered from human evaluators.