TechniquesLast updated: April 2026
Fine-tuning
Additional training to specialize a general AI model for a specific task or domain.
In Plain English
Fine-tuning is the process of taking a pre-trained AI model and training it further on a smaller, specialized dataset. This customizes the model for specific tasks without starting from scratch. For example, a general language model can be fine-tuned on legal documents to become better at legal work, or on a company's writing style to match their brand voice.
💡Real-World Example
A hospital might fine-tune a language model on medical literature so it better understands healthcare terminology.
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