Insights & Learnings

CalibPlan: The Missing Step Before Fine-Tuning Small Language Models

Most teams treat fine-tuning as the first serious step after prompt experiments. That's often backwards. A small calibration set can reveal whether your task is linearly separable, label-noisy, or data-starved—signals that should influence your adaptation strategy before expensive training begins.