Glossary term
Fine-tuning
Further training a pre-trained model on task-specific examples to adjust its behaviour, style or format.
Fine-tuning is useful for consistent formats, specialised classification or tone. It is usually not the best way to teach a model changing facts, where retrieval is preferred.
It adds a model lifecycle to manage: data preparation, training, evaluation and versioning.
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