What is Fine-Tuning? Simple Explanation (2026)
AI Glossary
What is Fine-Tuning?
Definition: Fine-tuning is the process of further training a pre-trained AI model on specific data to customize its behavior for a particular task or domain. It makes general-purpose AI models specialized for specific use cases.
How Does Fine-Tuning Work?
You take a pre-trained model (like GPT-4 or LLaMA) and train it further on your own dataset. This adjusts the model’s weights to perform better on your specific tasks. Fine-tuning requires less data and compute than training from scratch.
Examples
Custom customer service bots, industry-specific writing tools, code generation for specific frameworks, medical or legal AI assistants
Related Reading
Learn more about how Fine-Tuning is used in practice:
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