Fine-tuning
Retraining a model on your own examples so it adopts a specific style, format or behavior. Unlike RAG (which adds knowledge at answer time), fine-tuning changes the model itself. Useful for tone and repetitive tasks; more expensive to maintain.
- Appeared
- A standard transfer-learning practice; applied commercially to LLMs from 2023.
- Tactics
- Reserved for the Enterprise package, when the brand needs a dedicated model. For most cases, [RAG](#rag) + a well-written [system prompt](#system-prompt) achieve similar results, more cheaply.
Related terms
“Fine-tuning” is part of Glossary · AI Chatbot — part of the Atlas, Websem's reference of AI search, marketing and data terms.