Fine-tuning:
Involves taking a pre-trained model and training it further on a labeled dataset specific to your domain
Adapts the model to understand specific industry terminology, jargon, and requirements
Uses supervised learning with labeled examples from the target domain
Most common approach for customizing models for specific industries (legal, medical, finance, etc.)
Maintains the general knowledge from pre-training while specializing for the specific use case
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nand2804
2 weeks, 2 days ago