Evaluate Fine-tuned Phi-3 / 3.5 Models in Azure AI Studio Focusing on Microsoft's Responsible AI
Fine-tuning a model can sometimes lead to unintended or undesired responses. To ensure that the model remains safe and effective, it's important to evaluate the model's potential to generate harmful content and its ability to produce accurate, relevant, and coherent responses. In this tutorial, you will learn how to evaluate the safety and performance of a fine-tuned Phi-3 / Phi-3.5 model integrated with Prompt flow in Azure AI Studio. Before beginning the technical steps, it's essential to understand Microsoft's Responsible AI Principles, an ethical framework designed to guide the responsible development, deployment, and operation of AI systems. These principles guide the responsible design, development, and deployment of AI systems, ensuring that AI technologies are built in a way that is fair, transparent, and inclusive. These principles are the foundation for evaluating the safety of AI models.
