Fine-tuning solves specific, measurable problems: models that produce inconsistent JSON schemas, inference costs that scale beyond your budget, prompts so complex they hurt performance, and specialized behavior that's impossible to achieve through prompting alone. This guide walks through the concrete benefits of fine-tuning, helps you identify which goals matter for your use case, and shows you how to get started with a clear path to measurable results. We'll cover the real use cases where fine...