Explore a comprehensive video tutorial demonstrating the creation of a Document Classifier through fine-tuning a base LLM (T5) model using MLflow. Learn to save the trained model in MLflow and retrieve it for inference tasks. Master the implementation of Docker and Docker Compose infrastructure, along with setting up CI Pipeline in Azure DevOps. Access practical code examples and implementation details through the provided GitHub repository for hands-on experience in document classification using machine learning techniques.
LLMOps MLflow - Document Classification with Fine-Tuning and Inference
The Machine Learning Engineer via YouTube
Overview
Syllabus
LLMOps MLflow: Fine-Tune e Inferencia LLM con MLFLOW. Doc Classifier #datascience #machinelearning
Taught by
The Machine Learning Engineer
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