Make AI truly yours. Learn when to fine-tune a model and why small models (SLMs) can beat big ones for a job.
Fine-tuning means taking a ready model and training it a bit more on your own examples, so it learns your style or task.
Use it when good prompting is not enough: you want a fixed tone, a special format, or a niche skill every time.
Warning: fine-tuning takes data and effort. Try strong prompts and giving the model reference text first. Fine-tune only when those fall short.