This lab is currently in Beta — content may be updated as we refine the material
LABINTERMEDIATE

Track Prompt Experiments

Track and compare different prompt strategies using MLflow experiment tracking.

60 minutes
ai-infrastructure/llmops
Track Prompt Experiments - Platform Engineering Hands-On Lab Icon

Lab Overview

Learn to track prompt experiments using MLflow. Log prompt versions, evaluation metrics, and artifacts. Compare different prompt strategies and build a comparison dashboard.

What You'll Learn

Configure MLflow client for prompt experiment tracking

Log prompt variations with parameters, metrics, and artifacts

Compare prompt experiment results using MLflow

Build a custom comparison dashboard

Prerequisites

Understanding of MLflow concepts

Python programming fundamentals

Basic understanding of LLM prompting

Technologies Covered

mlflowpromptsexperiment-trackingllmopsevaluationollama

Part of a Course

This lab is part of the LLMOps and Model Management course

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