What is Fine-tuned Ruleset?
A set of rules that are refined by being trained with special data to do a certain job better.
Overview
It is a set of rules used to turn a general-purpose artificial intelligence into an expert in a particular industry or job. This process allows the model to fine-tune it to your specific needs while preserving its general information. It aims for less margin of error and higher focus.
How it works
Only examples and rules related to the targeted job are added to the general capabilities of the model. In this way, the model specializes within the limits you specify, instead of general information.
Where it is used
Legal document analysis, medical diagnostic support systems and dedicated customer service bots.
Commonly confused with
It is similar to fine-tuning, but here the emphasis is on the precise set of rules the model must follow rather than on its overall weights.
Frequently asked questions
Why are we doing this?
To prevent the model from rambling and ensure that it always responds to the standards you set.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →