Machine Learning
Glossary
Fine-tuning
Further training a pre-trained model on a smaller, task-specific dataset so it specialises.
Last updated
Fine-tuning starts from a model that already understands language or images and continues training it on curated examples of the target task. This teaches tone, format or domain knowledge far more cheaply than training from scratch. It is commonly used to make a general model follow a company style, answer in a fixed structure or improve on a narrow domain.
Related terms
Large Language Model
A neural network trained on massive text corpora to predict the next token, enabling it to generate and understand langu...
Training Data
The examples a model learns from, whose quality and coverage shape its behaviour.
Foundation Model
A large model pre-trained on broad data that can be adapted to many downstream tasks.
Keep exploring
Browse the full AI glossary or compare AI tools that use this technology.