Learn to build a complete document classifier system using MLflow for fine-tuning Large Language Models (LLMs) and managing the machine learning lifecycle. Follow along to create an end-to-end application with API integration and Docker infrastructure, implementing both training and inference pipelines. Master the process of fine-tuning LLMs for document classification, setting up Docker containers, creating Docker Compose configurations, and establishing CI build pipelines. Gain hands-on experience with MLflow for model tracking, deployment, and management while developing a production-ready document classification solution.
LLMOps with MLflow - Document Classification Using Fine-Tuned LLM Models
The Machine Learning Engineer via YouTube
Overview
Syllabus
LLMOps MLflow: Fine-Tune and Inference LLM with MLflow. Doc Classifier #datascience #machinelearning
Taught by
The Machine Learning Engineer
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