This article came after the fine-tuning guides because I wanted to close the loop.
Training and deploying a custom model can feel like the finish line, but it is not. Once a model is adapted to a task, developers still need to understand how it behaves, where it can fail, and whether its responses are safe enough for the intended use.
That is why I wrote about evaluating fine-tuned Phi-3 and Phi-3.5 models in Azure AI Studio with Responsible AI in mind.
The lesson for me was that model work has three parts: build, integrate, and evaluate. If the third part is missing, the first two are not ready for production.
Read the original article:
Evaluate Fine-tuned Phi-3 / 3.5 Models in Azure AI Studio Focusing on Microsoft’s Responsible AI