Fine-Tuning, explained
Fine-tuning trains a model further on your data to specialize it for a task.
Why it matters for agents
It can improve tone, format and accuracy for narrow, repeated tasks where prompting alone falls short.
How we use it in production
We use it when it clearly beats prompting and RAG for your case.
See where it shows upWant the technical detail?
Our team walks your engineers and reviewers through the whole stack.