Prompting glossary
Fine-tuning
Training a model further on your own examples.
What it means
Fine-tuning adjusts a model using a large set of your own examples so it defaults to your patterns. It is expensive and rarely needed. For almost every everyday use, a better prompt and a few examples get you there faster.
How to use this in practice
Knowing the word is the easy half. The useful half is writing the instruction so the AI does not have to guess: say who it should act as, give it the background it cannot know, state the outcome you want, set the limits, and name the format the answer should come back in. That is the same structure behind every template in the free prompt library.
Want prompts written for your business instead of definitions?