AI glossary Models & Architecture
What is Fine-Tuning?
← All glossary terms In short
Training a pre-trained model with domain-specific data.
Explained
Fine-tuning continues training a pre-trained model (e.g., GPT, Llama) on domain-specific data. It adapts the model to new tasks or vocabularies. Alternative to prompt engineering when more control is needed.
Decision guides that use this term
- RAG vs fine-tuning: which one does your enterprise use case need?
- Open-source vs proprietary LLMs: how should an enterprise choose?
- EU AI Act provider vs deployer: which role are you, and what does each one owe?
- Small vs large language models: which one should run your enterprise use case?
- Synthetic data vs real data: what should you train, tune and test your AI on?
Where it shows up at Thinkia
The Mesh