Real-world results from fine-tuning experiments and production deployments
See exactly how we solve complex problems using fine-tuned models. These case studies detail the problem, the approach, the dataset iteration process, and the final metrics.
We tried every shortcut. Reasoning models, automated pipelines, expensive APIs. All failed. Here's what actually works—and why nobody wants to hear it.
How we trained our own support model through 10+ dataset iterations, fixing reasoning one Q&A at a time. See the before/after comparisons.
Why category balance isn't enough. Learn why you need 7+ examples per fact and how to balance similar data points for robust model performance.