Models
Fine-tuning
Training a model further on task-specific data.
Plain-English explanation
Fine-tuning can improve format, style, or domain behavior, but retrieval is better when answers require fresh or private facts.
Why it matters
Fine-tuning matters because it affects how AI systems are designed, evaluated, priced, or trusted. Knowing the term helps you ask better questions and avoid vague implementation decisions.
- Ask how it changes quality, cost, speed, or safety.
- Look for concrete examples in the workflow you are building.
- Document the tradeoff before choosing a tool or architecture.