Local AI Glossary
What is SFT (Supervised Fine-Tuning)?
Source: local-llm.net/glossary
Training a model on labeled examples (input-output pairs) to learn specific behaviors. SFT is typically the first step of alignment after pre-training, teaching the model to follow instructions and engage in conversation. Distinct from RLHF and DPO, which further refine behavior based on human preferences.
How SFT (Supervised Fine-Tuning) fits in the local AI stack
SFT (Supervised 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