Using Azure AI Tools & Microsoft VS Code
This demo guides you through the process of fine-tuning the Phi-3 model using AI Tools VSCode Extensions, including steps for fine-tuning, inference, and deployment using Azure Machine Learning Service. Ensure your Azure subscription has access to an Azure Compute A100 GPU to complete this demo.
This demo provides a structured approach to fine-tuning the Phi-3 model using AI Tools VSCode Extensions and deploying it with Azure Machine Learning Service
Note Please Ensure your Azure Subscription has access to an Azure Compute A100 GPU to complete this demo.
Sample Code
Demo 1. Olive Demo
| Step | Description | Operation |
|---|---|---|
| 01.Installation | Please follow this step to set your env | Go |
| 02.Use Microsoft Olive to architect | Using Microsoft Olive tools to fit your SLMOps cycle | Go |
| 04.Inference your Fine-tuning models | Inference your onnx model after fine tuning | Go |
Demo 2. QA_E2E
| Step | Description | Operation |
|---|---|---|
| 01.Installation | Please follow this step to set your env | Go |
| 02.Prepare your QA datasets | Prepare your datasets, and tell you how to clean your datasets | Go |
| 03.Use Microsoft Olive to architect SLMOps | Using Microsoft Olive tools to fit your SLMOps cycle | Go |
| 04.Inference your Fine-tuning models | Inference your onnx model after fine tuning | Go |