In the foundation model lifecycle, when does a company provide a small, domain-specific dataset to adapt a previously pre-trained model so that it better reflects the company's terminology and writing style?
Fine-tuning
Data selection
Evaluation
Pre-training
Supplying a comparatively small, task- or domain-specific dataset to tailor the behavior of an already pre-trained foundation model occurs during the fine-tuning phase. Pre-training is carried out earlier on large, mostly generic corpora; data selection precedes all training to gather appropriate material, and evaluation is performed after training to measure model quality. Only fine-tuning focuses on adapting a general model to a narrow domain with limited additional data.
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