Questions
Common questions.
What is Fine-Tuning?
Fine-tuning is the process of further training a pre-trained model on a domain-specific dataset to improve its performance on particular tasks.
How does Fine-Tuning work?
Fine-tuned models may inherit biases from the new data and should be re-evaluated for safety and compliance.
Which terms are related to Fine-Tuning?
Closely related concepts include Model Distillation, Model Card, Multi-Model Strategy, Model Governance. Each is defined in the Prefactor glossary.
Where can I read more about Fine-Tuning in practice?
The guide "Fine-tuning vs prompting: which to use" covers the applied side in depth.
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