A research lab has a powerful, general-purpose language model that was trained on a vast, unlabeled corpus of internet text. They now want to adapt this model to perform a specialized task: accurately summarizing legal documents. Based on the typical data requirements for this adaptation process, what is the most significant and immediate challenge the lab will face?

Fine-Tuning for a Niche Domain

Data Paradigms: Pre-training vs. Supervised Fine-Tuning