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Fine-Tuning
Continuing training on a pretrained model using a curated dataset to adapt it for specialized tasks or domain jargon.
Why it exists
Pretrained models are generalists. Fine-tuning adjusts model parameters so it excels at specific tasks like medical extraction or custom code generation.
How it works
Loads base model weights and trains on thousands of domain-specific example pairs using a low learning rate to refine outputs.
Related terms
Where you'll use this
roadmap