A general language model knows a little about everything.
It knows some medicine. Some law. Some code. Some cooking. But it doesn't know your specific domain deeply. It doesn't know your company's tone, your product's terminology, or your task's format.
Fine-tuning fixes this. You take a pretrained model that already understands language and specialize it for your specific task with a fraction of the data and compute you'd need to train from scratch.
This post covers how to do it properly.
What You'll Learn Here
