LLM Fine Tuning Orbit

Why generic models fall short Large language models are impressive out of the box. They answer questions, write drafts, and summarise documents. But when you ask one about your internal processes, your product catalogue, or a specialised regulation, the answer is often vague or wrong. The model was trained on public data, not on your data. That gap is where customisation matters. Professionals who deploy these models quickly find that a one-size-fits-all approach creat