Implementing and tracking AI projects with Scikit-LLM and MLflow

In this article, you will learn how to use the Scikit-LLM and MLflow toolkits to build, track, compare, and log standard scikit-learn pipelines that integrate Large Language Models (LLMs). This approach enables developers and researchers to manage the data engineering and advanced AI model training processes with precision and transparency, while leveraging proper experiment version control to ensure the reproducibility of results.