What data do you need to fine-tune a model and how much of it is required?

The most valuable material is real examples: pairs of query and correct answer, completed documents, approved texts or historical decisions. In practice this means hundreds to thousands of good-quality examples, and quality matters more than quantity. We will help you sort the data, remove personal information and prepare it into a training set. If you have too little, we will start by connecting the model to your documents and postpone fine-tuning.