Fine-tuning is often evaluated as a trade-off between model specialization and operating burden. In many cases, the economic question is whether the gain in performance justifies the added complexity.
Glossary entry
Fine-Tuning
The process of adapting a pre-trained model using additional domain-specific data so it performs better on a narrower set of tasks.
Why it matters
Fine-tuning matters because it can improve relevance or accuracy for enterprise use cases, but it also introduces extra cost, governance overhead, and lifecycle complexity.
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