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churn_classification_finetune

Example of using Azure OpenAI to fine-tune a model for churn risk classification

Overview:

In this example we will explore how to fine-tune a Azure OoenAI model (e.g. Curie) for classifying customer churn risk by low, medium or high.

Data:

The data used for this example is synthetic customer data and chatbot conversations, labeled with the following churn risk classification: low, medium or high generated by Azure OpenAI GPT4 model.