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Supervised Fine Tuning
Supervised fine tuning is where models learn how to behave in the real world. Our data creation pipelines emphasize expertise, consistency, and coverage, so models learn the right patterns, not noise.
Overview
Supervised fine tuning directly determines how a model behaves in production; how it reasons, structures outputs, and responds under real usage. Decisions made at this stage influence reliability, domain accuracy, and the cost of downstream correction, making data design and control a critical consideration for teams deploying or adapting models.
In practice
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