Concept
Fine-tuning
Additional model training on task-specific examples to change behavior or specialize performance.
In practice
A classifier can be fine-tuned on consistently labeled examples.
Why it matters
Use the term as an operating concept, not jargon. Ask what it changes in cost, quality, evidence, latency, security or user experience.