Local AI Glossary
What is Fine-tuning?
Source: local-llm.net/glossary
The process of continuing to train a pre-trained model on a specific dataset to adapt it for a particular task, domain, or behavior. Fine-tuning modifies the model's weights. Common fine-tuning methods include full fine-tuning (modifying all weights), LoRA (modifying small adapter weights), and QLoRA (LoRA with a quantized base model).
How Fine-tuning fits in the local AI stack
Fine-tuning is part of the broader local AI ecosystem. See the related guides, comparisons, and tools below to see how it applies in practice.
See also
- Full Local AI Glossary
- All learn topics
- What is Local AI?
- Quantization explained
- Hardware requirements
- How to choose a local LLM