Fine-Tuning
Also known as: Model Fine-Tuning, Transfer Learning
In one sentence
Taking a pre-trained AI model and training it further on your specific data to make it better at your particular task.
Explain like I'm 12
Like teaching a smart student who already knows a lot, but you're giving them extra lessons on exactly what you need them to be good at.
In context
Used to customize ChatGPT for your company's tone, teach a model medical terminology, or adapt a translation model to specific industry jargon.
See also
Related Guides
Learn more about Fine-Tuning in these guides:
Fine-Tuning vs RAG: Which Should You Use?
IntermediateCompare fine-tuning and RAG to customize AI. Learn when each approach works best, how they differ, and how to combine them.
12 min readFine-Tuning Fundamentals: Customizing AI Models
IntermediateFine-tuning adapts pre-trained models to your specific use case. Learn when to fine-tune, how it works, and alternatives.
8 min readOpen Source vs Proprietary AI Models
IntermediateShould you use OpenAI's GPT, or self-host Llama? Compare open source and proprietary models on cost, control, and capabilities.
7 min read