In our comprehensive LLM Evaluation using MLflow course, participants will delve into the core components and practical applications of MLflow over a span of three days (24 hours). The course is designed to teach you to deploy, trace, and evaluate Large Language Models (LLMs) effectively.
Learning objectives: - Understand MLflow's core components and their scalability. - Deploy and evaluate LLMs using MLflow. - Gain expertise in model validation with tools like Giskard's and Trubrics' plugins.
The course includes hands-on labs using your OpenAI key, allowing you to apply these concepts in real-time. Basic knowledge of machine learning, Python, and model evaluation metrics is required to get the most out of this training.
