Learn how to convert a Phi3.5 vision Instruct Model to OpenVino IR format and compress it to Int4 using nncf in this 40-minute technical video. Follow along with hands-on demonstrations to create an MLflow Python Model and register it in MLFlow for production deployment. Access companion resources including a detailed Jupyter notebook and helper utilities to implement the complete model conversion and optimization workflow. Master essential MLOps techniques for optimizing vision models while maintaining model performance through quantization and MLflow integration.
Converting and Compressing Phi3.5 Vision Models with MLflow and OpenVINO
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOps MLFlow: Crafting OpenVino Models with MLflow. #datascience #machinelearning
Taught by
The Machine Learning Engineer
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