Model refinement is the process of improving an existing model so it performs more accurately and reliably on real-world tasks. Covers methods for tuning behavior, reducing errors, and evaluating results to create better outputs and stronger performance. Supports roles in data science, machine learning, and AI product teams across tech companies, startups, and research labs.